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Users-Data
The main objective of the trucking business is to help truckers performs their
tasks safely and efficiently. The trucking business is a service which uses
other services to safely deliver goods across the United States.
It is very critical that we as system's architects, analysts, management and
development understand the trucking business and think in trucking business
terms. We need to distinguish between our ICTP users:
1. Major Players
2. Planners
3. Supporting Services
4. Finance
5. Safety
6. Federal and States Regulators
Our ICTP is an intelligent virtual automated integrate-able cloud system which encompasses
businesses, manufacturers, technologies, Big Data and federal and state agencies. Security
and privacy are also critical components. ICTP analysis is composed of the following:
• Users
• Data
• Communication - Interfaces
• Support
• Tracking
• Reports
ICTP is a big system with over 47 users (so far) and these users share that same data
but not necessary with the same format. For example, tractors, trailers and tracking
system use wireless signal as a communication which interface with other users in the
format which each have a handle on.
Image #1
To give a picture what our ICTP is all about, Image #1 presents the components of
the daily truck run. Components interfaces may use different format to communicate. The
data collected from truck daily run is saved in Big Data storage. The stored data is
reused in the history analysis of each daily run. The goal of our intelligent
analysis is to figure out and predict patterns, tendencies, correlations, trends, ..etc.
Such analysis would help in making intelligent decisions for safety and efficient workload.
Our Basic Data structure is Java Data Access Objects (DAO). Each component would have
any number of DAO to represent each of what we call Data Entity.
We have architected-designed both Search Index and Analysis Index to help speed with data
search and data analysis.
Tire Repair Use Case:
Our goal is to build an intelligent integrate-able system which services users. Let us examine
what we called Tire Repair Use Case. Let us assume that a truck is driving on a highway and one
of the tractor's tire (8 tires + 2 front tires) had a flat tire. The tractor has 7 remaining tires
and can continue for few miles without issues (but not recommended).
Normally such a repair would take between 5 hours or would end the driver 's 11 hour/day driving.
How our intelligent system would handle such case?
The following steps are automated and all steps are handled by our intelligent system. Very few steps
would involve any human actions:
• Most tire has sensors which would report the tire issue to the tractor wireless system
• The tractor wireless system would send signals to the driver tablet
• The driver tablet would display the issue to the driver and inform the driver of the needed steps to take
• The tablet would also inform headquarter of the issues using the internet wireless system
• Headquarter system would have the option of figuring out the location of tractor-trainer
• Based on tire sensors report sent to headquarter, a number of options would be automatically selected
• Headquarter would locate any repair shop on the highway where the tractor-trainer would go to and get the repair
• Headquarter would inform the truck driver
• The driver's tablet would have started the navigation to guide the driver to the repair shop
• Headquarter would inform the repair shop about the time the truck would reach the repair shop
• The repair shop would have the needed replacement tire
• If the shop does not have the tire, it would have enough time to order the needed tire
• Once driver arrives at the shop, the repair shop would be ready to repair the flat tire
• At the same time, the driver would take 30 minutes break while the tired is being fixed
• Once the repair is done, the driver would continue the load journey
• An tire day of driving would be saved
• Our system would be capable of turning the loss of 5 hour or a day of driving into a 30 minutes break
Lets us take our Tire Repair Use Case further where the repair would take longer and there is a major delay.
The following steps are automated and all steps are handled by our intelligent system:
• The driver would use his tablet to let headquarter know about the delay
• The repair shop would communicate the delay and time for the truck to be back on the road
• Headquarter would communicate the delay to clients waiting for the shipment
• Clients would also be able to text or send phone messages to their client informing them of the possible delay
For example, if the client was Best Buy and the shipment were TVs. Then Best Buy would automatically text
or send phone messages to their clients-TV buyers and inform them of the delay and ask the TV buyers to
wait for further information about the arrival of the TVs at the designated stores.
The steps and the technologies mentioned in our use case are already used, what our system did was automated
the processes and added intelligence as if human were running the system.
Users
Introduction:
The most critical part of any system is the "User". The goal(s) of any system is to
service users. Missing what users' needs-services would end in system failure. Our
system is an enterprise cloud system with the goal of servicing every user. All the
involved parties in our system are directly or indirectly able to use our enterprise
cloud system. For example, weigh stations would be able to communicate directly with
tractors, trailers, companies and their clients, highway patrol to help eliminate
delays and the passing of hazardous material through the proper routes and not endanger
the public. In a nutshell, proper data would be handled by the proper users.
The following is a list of possible users with a brief description:
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1.
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Trucking Companies
Trucking companies which own tractors, trailers and employee truckers and own operators
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2.
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Truck Drivers
Employees of truck companies
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3.
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Truck Owner-Operators
Truckers who owns their trucks and self-employed
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4.
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Dispatchers
Truckers assistance
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5.
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Fleet Managers
Run routes and manage trucks and trailers
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6.
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Load Boards
Provide loads for truckers haul
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7.
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Customer - Clients
Trucking companies clients - may or may not won their own trucks and trailers and have truckers as employees
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8.
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Chat and Email Services
Email and chat services - would replace texting and CBs
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9.
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Federal Taxes Interface
For companies and owner operators to pay taxes, fees, etc
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10.
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State Taxes Interface
For companies and owner operators to pay taxes, fees, etc.
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11.
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Investors
Investors who are interested in financing the trucking players (owner operators, .. etc)
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12.
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Banks
Provide finance to trucking businesses
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13.
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Credit Cards Companies
Provide credit cards and loans
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14.
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Mortgage Companies
Provide mortgages to the trucking business
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15.
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Navigation
Provide navigation software and devises for routes and parking
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16.
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Tracking Companies - track truck and trailers
Provide tracking devises for trucks, trailers and loads
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17.
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Truck Dealers
Truck dealers for selling trucks - new and used
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18.
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Truck Advertisement
Provide advertisement to the trucking businesses
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19.
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Fuel Companies
Major fuel companies - Big companies as Shell, Mobile, etc
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20.
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Fuel-Truck Stops
Servicing trucks and truckers - pricing, showers, food, restaurants, supplies
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21.
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Truck Stops Companies
Small truck stops companies - Fuel only - small and privately owned
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22.
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Truck Manufactures
Major truck manufactures
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23.
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Parts Companies
Truck Repair Parts Companies and stores
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24.
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Road Assistance
Road assistance - towing, repairs, etc
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25.
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Repair Service
Repair shops, stops and locations
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26.
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Tractor - communicate directly with repair shops
Communication services between repair shops and tractors
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27.
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Trailer - communicate directly with repair shops
Communication services between repair shops and trailers
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28.
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Truck-Trailer Rentals
Rent trucks and trailers
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29.
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Truck Driver Training Schools
Training drivers
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30.
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State Agencies
There are a number of them - Motor Vehicle Division (MVD), Departemtn of Motor Vehicles (DMV)
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31.
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Weigh Stations
Communicate with truck, trailers, loads, truck companies and client-customers
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32.
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State Patrol
Communicate with truckers, trucks, trailers, loads, truck companies and client-customers
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33.
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Police Stations - contact information
Communicate with truckers, trucks, trailers, loads, truck companies and client-customers
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34.
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Federal Agencies
Communicate with truckers, trucks, trailers, loads, truck companies and client-customers
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35.
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Insurance Companies
Communicate with truckers, truck, trailers, loads, truck companies and client-customers
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36.
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State and Federal - Hazardous cargo - security, special routes, placards
Special communication services
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37.
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Department of Transportation - DOT
Communicate with truckers, truck, trailers, loads, truck companies and client-customers
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38.
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Highways Billboards
Track truck drivers with customized messages to help in providing dynamic ads and messages in real time
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39.
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Rest Areas
Communicate with truckers, truck, trailers, loads, truck companies and client-customers
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40.
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Restaurants
Use trucking data for ads and promotions
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41.
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Hotel List - prices and services
Use trucking data for ads and promotions
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42.
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Truckers TV and Radios
Use trucking data for ads and promotions
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43.
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Hotel Owners and Companies
Use trucking data for ads and promotions
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44.
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Truck Driver Entertainment
Use trucking data for ads and promotions - audio only (music, radio shows, stories, news, comedy ..)
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45.
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Management System
Use data to provide management system
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46.
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Statistics
Use Data to provide statistical services
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47.
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Google and Data Providers
Buy our data or team up in providing services
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We would be more than happy to brainstorm data and users with anyone interested.
Data
Introduction:
The goal of this analysis is determine the type, the format of data, its timely usage and
how it would be processed, secured and shared. To make life easier for non-technical
audience, let us look at how an average person uses his/her mobile. The current mobile
technologies use visual, sound and mechanical vibration to communicate with its users. In
our project, we have tractors communicating with trailers, repair shops, weigh station,
headquarters, clients, .. etc. Such communication needs to be cloud-based, wireless, encrypted, secured
and in real time. The communication and its data need to be timely processed, stored and tracked. This
is where Big Data comes in play.
We would like to add that data quality or characteristics are: Accuracy, Precision, Legitimacy
and Validity, Reliability, Consistency, Timeliness, Relevance, Completeness and Comprehensiveness,
Availability and Accessibility, Scalable and Uniqueness.
We also can add other data features as follows: data from data, analysis, patterns, trends,
personalized, customized, profiling, format (digital, signal, audio, text, PDF, images, zipped,
numeric, ..etc), size, structured and non-structured, continuous, time critical, existing,
new, internal and external.
Users' Data Interfaces:
Data format and processes are user dependent. This means that truckers data and tractors-trailers
do not have the same format nor they would be processed the same way. The data storage for each
would not be the same. Regardless of the user type, the goal is that these users would be able to
communicate and comprehend other users' messages. For example, once a truck driver turn on the
engine or the communication tablet or QuadCom, both tractor and trailer (if they are hocked) would
be communicating with their own unique signals with truck driver's tablet. They would pass all the
need information such as tractor and trailer number, license number, running condition including
issues. The very same data would be also send to truck company's cloud system for tracking and audit
trail. Such communication-signals are already in use by some of carriers, but the data, communication, processes, storage
and tracking are not structured nor are processed the same way we are proposing.
How doable is our System?
The information and the detailed analysis we are presenting would be seen by others as an overwhelming
system. Critics would claim that our system is too big to comprehend or build. Our answer is as follows:
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•
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Our analysis is comprehensive and covers all possible business scenarios
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•
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The data sets and the data complexity are very limited but there is no limit on the number of possible users
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•
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Our system is component-driven and our system can grow by adding components as our resources can handle
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•
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Our system is Big Data driven, and we architected-designed intelligent handling and processing
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•
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Our system features (which would be seen as overwhelming to critics) can be divided
into the following features:
"Have to Have"
"Nice to Have"
Such division would help build a smaller
system with "Have to Have" as a start. The "Nice to Have" can be added as needed or as enhancements.
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The following is a list of possible users-Data with a brief description:
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1.
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Trucking Companies
Trucking companies which own tractors, trailers and employee truckers and own operators
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•
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Most major trucking companies would have existing cloud system with databases, software, infrastructure and supporting staff
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•
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Our ICTP system would have to integrate with these existing system and encompass all the existing services and data storage.
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•
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Our ICTP system is component-based, and any existing system would be integrated as an independent component
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•
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We are proposing Cloud Commercial Trucking Suite, which would be the umbrella supporting
any component. Our Cloud Commercial Trucking Suite (CT Suite) would be working as the
Operating System with DataOps and DevOps support. CT Suite is also architected to interface
with other companies' CT Suites.
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•
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We are proposing National Trucking Hubs where all the trucking major players would build a network
of trucking routes and services as if all these major trucking players are one body of hauling service.
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•
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Our attempt here is to standardize the trucking business. We are proposing two standardizations.
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Carrier to Carrier - would include all the Big Data handling, interfaces, integration and federal
and state communication and services. This would cover cooperation and integration between carriers.
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Carrier to Client: is the hauling processes, routing and Business to Business (B2B) cloud. This
standardization would create the B2B interfaces-integration between carriers and their
clients. For example, a company such Best Buy cloud system can be easily interface and
integrate into any of our CT Suite. This would cover hauling schedules and charges
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Benefits: Such standardization would help the cooperation between carriers, where all partners
carriers would cover each other by hauling the clients loads. The client charges would handled
according to partnership agreements. Clients would be dealing with only one partner regardless which
partner is performing the hauling. This would be a big boost for split loads.
For example, a split load would be dropped by let us say partner A in common hub and Partner B would
be hauling this load and no delays. The charges would be partner A responsibility.
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What we are focusing on is data and data storage and we have these possible scenarios:
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•
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The company has AWS, Azure or any cloud services as their cloud system. We would
interface with the company existing system as an independent component and we integrate
the rest of subprojects with the existing data storage.
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•
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The company would be using our system and we would provide our CT Suite cloud. We do offer
data analysis and intelligent data storage services which does not have database. See our page
with our architect link
(
Database Replacement Using XML
)
on one of our sites.
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•
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The company is willing to have a combination of what we offer and the market (AWS, Azure, etc)
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•
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Any third party system which exists and we need to integrate with such system
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2.
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Truck Drivers
Employees of truck companies
Our basic data for a truck driver is our Java Data Access Object ( DAO) and Intelligent
Data Access Object (IDAO). We would be designing DAO for each (what we call) data entity. We
would be designing DAO for personal information, transaction, banking, communication,
security, taxes, ..etc. Non of the data fields in these DAO (data enttity) would be duplicated except for the truck
driver ID and name. ID would be an unsigned Java Long Integer with 20 digits long to store
truck driver ID and other storage and search digits (indices) :
18,446,744,073,709,551,615 = 20 digits
ID would be designed as a combination of set of numbers (sub-ID). We would provide more details
in other documents. As for IDAO see the link
(
DAO Data Structure
).
Each truck driver would has his own cloud services which are secured and his privacy is also protected.
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3.
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Truck Owner-Operators
Truckers who owns their trucks and self-employed
Owner-Operator is a truck driver (driver DAO) plus the business DAOs.
Owner-Operator ID would have unique digits which are different from the truck driver ID.
Owner-Operators would also have small scale version of CT Suite.
CT Suite standardization and communication would be applied.
A group of Owner-Operators can have their own CT Suite which is also scaled to fit their size of operations.
Such group can have Load Boards access for their independent operations.
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4.
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Dispatchers
Truckers assistance
A dispatcher's main job is to help truck drivers with their tasks. A dispatcher is the human
that drivers would be communicating with in case of needs or questions.
A dispatcher is an employee or an outside consultant. A dispatcher would be treated as a truck
driver, but a dispatcher would have access to screens and data where security DAO would have
more details fields. Audit trail of all the dispatcher actions is also critical to security and performance.
We planning on automating both the dispatcher and Fleet manager tasks. For the time being we would
be using human help and not automated software.
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5.
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Fleet Managers
Run routes and manage trucks and trailers
See dispatcher data analysis.
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6.
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Load Boards
Provide loads for truckers haul
Both companies and owner operators would be using Load Boards for getting business.
We planning on using Load Boards the same way a stockbrokerage software are used.
A stockbroker is a professional trader who buys and sells shares on behalf of clients. ... Brokerage
firms and broker-dealers are also sometimes referred to as stockbrokers.
We planning on automating Load boards and use automated software.
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7.
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Customer - Clients
Trucking companies clients - may or may not won their own trucks and trailers and have truckers as employees
Clients can range from consumers, small and medium size business to major corporations plus the Department of Defense (DoD).
Clients - may or may not won their own trucks and trailers and have truckers as employees.
Clients can also be national and international companies. B2B interface and integration plus
banking would be further studied and researched.
We would be covering US companies at this point. Clients can create a private account with
carriers.
Based on the clients size and their software system, we would be integrating the
clients system as B2B or interface with CT suite. Out CT Suite would be addressing their
unique communication and protocols.
We also open to any interfaces-integrations which we did not cover and we are willing to adapt any solutions.
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8.
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Chat and Email Services
Email and chat services - would replace texting and CBs
The main objective in the trucking business is safety. The first safety is driving
an 80,000 pound truck on the road and eliminating any distractions. Most truck drivers
would have one or more mobile phone, two or three navigation devices, the truck's safety
devices, CB Radios, TV, cable boxes installed in truck, personal computers, and other
devices. Each truck is also equipped with the company devices such tablets or QuadComs.
We are proposing "On The Road Personal Butler". There are new technologies which help
trucks and drivers' performance and safety. We are proposing an intelligence system
which we call Road Personal Butler. This is a voice activated companion software
tablet, an App or any customized electronic device. See our page for:
"On The Road Personal Butler."
The data and data structure would be presented separately as subproject.
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9.
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Federal Taxes Interface
For companies and owner operators to pay taxes, fees, etc
Our approach is to using customized Java Data Access Object (DAO) and Intelligent
Data Access Object (IDAO). We would be designing DAO for each what call data entity.
As for interfaces we need further research.
Note: some companies may have existing services, which would be integrating our CT Suite with these companies system.
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10.
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State Taxes Interface
For companies and owner operators to pay taxes, fees, etc.
Our approach is to using customized Java Data Access Object (DAO) and Intelligent
Data Access Object (IDAO). We would be designing DAO for each what call data entity.
As for interfaces we need further research.
Note: some companies may have existing services, which would be integrating our CT Suite with these companies system.
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11.
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Investors
Investors who are interested in financing the trucking players (owner operators, .. etc)
Investors are outsiders looking into the system. They would be looking for data which they
would be using in their investment decisions. Security and privacy are critical.
Our goal here is help boost the trucking business by facilitate outsiders to team
up with drivers and companies. Our objective is not to sell data, but to provide data services
to boost the trucking business and the participants.
The data and data structure will be presented in different documents.
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12.
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Banks
Provide finance to trucking businesses
Banks are outsiders looking into the system. They would be looking for data which they
would be using in their financing decisions. Security and privacy are critical.
Our goal here is help boost the trucking business by facilitate outsiders to team up
with drivers and companies. Our objective is not to sell data, but to provide data services to
boost the trucking business and the participants.
The data and data structure will be presented in different documents.
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13.
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Credit Cards Companies
Provide credit cards and loans
Credit cards companies are major players in the trucking business for providing
immediate finance to truckers, owner-operators and small to medium size trucking companies.
We would be working closely with credit cards companies to build special business
interactions and incentives to both truckers and companies as well as supporting services such as truck stops.
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14.
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Mortgage Companies
Provide mortgages to the trucking business
Most owner-operators are tied up with a single carrier which provides the buying
or the rental of trucks. We would dealing with mortgages companies the same way we
dealing with investors.
We are trying to help truck drivers have the options to own their own trucks.
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15.
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Navigation
Provide navigation software and devises for routes and parking
Navigation is very critical to drivers, companies and their tractors and trailers. There
are so many things which can go wrong while the trucks are in motion. Driving and
specially at night in darkness can be a big rick. Low bridges, losing directions or
possible other issues would turn into a safety issue. Most truck drivers would own
more than one navigation devices. Fleet Managers and Dispatchers track trucks and
trailers and they can help with the navigation but sadly most truck drivers do not
count on such help.
Parking is an issue which most drivers can use help and instructions.
Weather is another issue which needs to be addressed.
Trip planning needs navigation support.
Our system provides the following:
• Drivers, tablets, truckers and trailers are tracked and have communication
• Trip Planner service
• On The Road Personal Butler
• Automation of Fleet Managers
• Automation of Dispatchers
• Chat and Email Services - call experienced drivers to help
• May need to contract local or state police or other road assistance
All the listed options would be architected to be intelligent and in real-time.
The data collected for these situations would collected, analyzed, added to statistics.
Based on the data, our system would make more educated decisions and provide planning, help and guidance.
We would be using the data and the data structure to provide options.
These options would be part of other system.
We also need to work with navigation companies and check out their options and solutions to
navigation, weather, parking and planning.
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16.
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Tracking Companies - track truck and trailers
Provide tracking devises for trucks, trailers and loads
Major constituents of the Global Positioning System (GPS)-based tracking are:
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•
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GPS Tracking Unit: The device fits into the vehicle and captures the GPS location
information apart from other vehicle information at regular intervals to a central
server. Other vehicle information can include fuel amount, engine temperature,
altitude, reverse geocoding, door open/close, tire pressure, cut off fuel, turn off
ignition, turn on headlight, turn on taillight, battery status, GSM area code/cell
code decoded, number of GPS satellites in view, glass open/close, fuel amount, emergency
button status, cumulative idling, computed odometer, engine RPM, throttle position,
GPRS status and a lot more. Capability of these devices actually decide the final
capability of the whole tracking system; most vehicle tracking systems, in addition to
providing the vehicle's location data, feature a wide range of communication ports that
can be used to integrate other onboard systems, allowing to check their status and
control or automate their operation.
|
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•
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GPS Tracking Server: The tracking server has three responsibilities: receiving data from
the GPS tracking unit, securely storing it, and serving this information on demand to the user.
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•
|
User Interface: The UI determines how one will be able to access information, view
vehicle data, and elicit important details from it.
|
The goal is to work with GPS experts and collect data in real time and make an intelligent
data analysis to improve safety and performance.
We do have our own Big Data analysis system and we may need to work with GPS experts and
their data and see if we would brainstorm a practical approach to GPS and safety-performance.
We would also add new features such as predictions of behavior and possible actions based
on previous data-history.
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17.
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Truck Dealers
Truck dealers for selling trucks - new and used
Data or Big Data is a double-edged sword which can be properly used or abused.
We are not in the business of selling data, but we are working on helping the
trucking business advancement as well as fine-tuning the trucking business as whole.
Truck dealers, investors, banks, mortgage company or any finance player would be
interesting is our data and analysis for providing better services to the trucking business.
Note: we are proving services and not selling data.
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18.
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Truck Advertisement
Provide advertisement to the trucking businesses
Advertisement is a big business and again we are not the business of selling
data, but we would provide our intelligent analysis services and support.
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19.
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Fuel Companies
Major fuel companies - Big companies as Shell, Mobile, etc
See Truck Advertisement
|
|
20.
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Fuel-Truck Stops
Servicing trucks and truckers - pricing, showers, food, restaurants, supplies
Truck Stops are literally truck drivers home away from home. A truck driver can only
drive 11 hour per day and the remaining 13 hours are waiting for the 10 hours rest
to end so he starts driving again. We can assume that the average truck driver would
spent about 50% of his or her time on road fueling, eating, showering, resting, parking, taking
the 30 minutes break, repairing, servicing, weighing their trailers and so on.
Truck companies and fuel stops may have a number of agreement on pricing and repair
services, so on.
Almost all the truck drivers park in these truck stops and they would have their engine running to
provide heat or air conditioning. These running engines waist fuel and also add pollution
to the environment.
We are working a number of accommodation to truck drivers where they would be resting, eating, ..etc.
Our Data can be used to figure how these truck driver accommodation can be optimized to benefit all participants.
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21.
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Truck Stops Companies
Small truck stops companies - Fuel only - small and privately owned
We would provide data analysis to help their small business.
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22.
|
Truck Manufactures
Major truck manufactures
Our Big Data can definitely be used by truck manufactures as a tracking to their
equipments, users, roads, environments, weather, habits-behavior or any data
analysis we would provide.
We are also presenting Truck Driving Automation and Automating Cost-to-Cost
Commercial Trucking. See their pages the brief descriptions.
|
|
23.
|
Parts Companies
Truck Repair Parts Companies and stores
See Truck Manufactures
|
|
24.
|
Road Assistance
Road assistance - towing, repairs, etc
If you ask any truck driver what is the trucker worst issue (other than safety), the answer
is "Waiting". There is a common saying among drivers is: "Hurry up and wait." Both trucking
companies and drivers would be making money if the truck is moving. Waiting for live load,
repairs, traffic, mismanagement by fleet managers-dispatchers, or other unforeseen issues. The
average waiting for any repair is about four hours if not more. The waiting is counted toward
the 14 hour workday. In most cases, this would result in four hours of waiting, end of 14
hours workday and then the driver must take a ten hours off before the driver can drive
again. In short, a workday would be lost due to the waiting. New trucks-trailers also breakdown
but may not be as often as old one.
In the case of breakdown or repairs are needed, most drivers would be calling his fleet manager
or dispatcher and the game of waiting and figuring out what would be the plan of action. Based
on the time of day and the availability of good management and processes, the waiting and waste
of the 14 hour workday would result in losing a day of driving.
Most trucks and trailers are equipped with sensors which monitor the truck and trailer running
condition and issues. With the internet and wireless technologies, such information would be used
to speed repairs and reduce the waiting time.
We are proposing networks of trucks, trailers, company, clients, fleet managers, dispatchers, repair
shops, towing companies, highway patrol, fuel-truck stops and other third parties. These networks
would be sharing live data and history data to build intelligent plans to handle any situations and
reduce any time wasted.
The data collected from these networks can be audit trailed and processes to help in building
an intelligent analysis of how to reduce or eliminate waiting, wasted time and effort.
We may need to research how railroad companies and technologies used to handle similar situations.
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25.
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Repair Service
Repair shops, stops and locations
See Road Assistance.
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26.
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Tractor - communicate directly with repair shops
Communication services between repair shops and tractors
See Road Assistance.
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27.
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Trailer - communicate directly with repair shops
Communication services between repair shops and trailers
See Road Assistance.
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28.
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Truck-Trailer Rentals
Rent trucks and trailers
See Road Assistance.
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29.
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Truck Driver Training Schools
Training drivers
See "Truck Driver Training Schools"
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30.
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State Agencies
There are a number of them - Motor Vehicle Division (MVD), Departemtn of Motor Vehicles (DMV)
Any truck must have one or more binder of all the permits, licenses, etc. These documents must
be update and paid for. The same thing would apply to a number of other documents. Different states
and different loads (HAZMAT) may require different fees, documents, handling, roads, ..etc.
Our System would be a paperless system and fees, rules ..etc would be available on our system with
no hassles.
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31.
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Weigh Stations
Communicate with truck, trailers, loads, truck companies and client-customers
Weigh Stations main purpose is tax (commercial trucks to pay fuel taxes) and safety
purposes. For most states, only commercial vehicles that are over 10,000 pounds in
gross weight need to stop at vehicle weigh stations. Federal law states that single
axles are limited to 20,000 pounds, and axles spaced more than 40 inches and not
more than 96 inches apart (tandem axles) are limited to 34,000 pounds. Gross vehicle
weight is limited to 80,000 pounds. Federal Motor Carrier Safety Administration
(FMCSA) agents conduct a thorough equipment safety inspection of all trucks. Department
of Transportation (DOT) or state inspection officers can flag the truck for an inspection.
The goal of our analysis to help with safety, tax collections, speed the processing
and help both truck drivers and DOT or state inspectors perform their jobs. Most truckers
view weigh station, DOT officers and state inspectors as an add burden to their jobs
which can unfairly waist time and resources plus DOT and state inspection abuse their
authorities.
Our data analysis would create data structure which can be shared and helps speed weigh
station processes and insure faire and fast communication. This would elminat any abuse
by truckers and inspectors. The following scenario would put a picture of our analysis goals:
Truckers, tractors, trailers, carriers companies, weight stations, federal and state agencies
and clients would sharing the same data which concerns all parties. Tractor, trailer, client
and carrier, weigh station and federal and state agencies would be notified once a trucker
starts (also during) his/her trip of any violation including weight limits, tractor-trailer running
condition. Violation would be flagged. Such communication and preapproved status of truck,
trailer, load, licenses, fees, routes, ..etc would boost performance and safety of running
truck-trailer. Such automation in real-time would also help resolve any issues including
paying fees with paperless tracking and audit trail. Trucks would not need to stop at any
weigh station. For example, fees can be paid automatically be the carriers and no stopping
nor waste of time. The performance of DOT officers and state inspections would be tracked
and audit for any misuse or abuse of their authorities.
Such communication would architected so the "Big Brother Watching" concept would be
eliminated. The reality is DOT officers, state inspectors, the state police, federal and
state agencies would be tracked and audit trailed of every action. Such audit trail would
be used to make all these agencies liable for any misuse, abuse, failure of their rules and system.
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32.
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State Patrol
Communicate with truckers, trucks, trailers, loads, truck companies and client-customers
See weigh station.
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33.
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Police Stations - contact information
Communicate with truckers, trucks, trailers, loads, truck companies and client-customers
See weigh station.
According to common belief among truckers "Police is Your Best Friend." The reality in most
cases police officer would help truckers in situation which is critical. For example, when a trucker
losses his/her way or takes the wrong exist and ends in a road with law bridges and needs to
make a u-turn in the middle of heavy traffic. The best option he/she has is to call the police in
helping such situation. These issues are very common during operating trucks with 53 foot trailer.
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34.
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Federal Agencies
Communicate with truckers, trucks, trailers, loads, truck companies and client-customers
See weigh station.
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35.
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Insurance Companies
Communicate with truckers, truck, trailers, loads, truck companies and client-customers
Despite the common belief, insurance companies play a big role in safety and services of most
businesses. They also work with lawmakers in proving laws which protect and add safety to trucking
business. The insurance companies roles are very critical and beneficial to the safety and the business
overall.
In most cases, police, state agencies, repair shops, road assistance , ..etc may be required to
communicate with insurance companies. Our system would be the facilitator to such communication, tracking
and audit trail.
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36.
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State and Federal - Hazardous cargo - security, special routes, placards
Special communication services
See weigh station
Hazardous Cargo is a special case and needs to be addressed with more details.
We would be providing specific data structure and instructions which comes with data.
We need to further study the tractor-trailer communication and all parties involved plus
the data and processes.
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37.
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Department of Transportation - DOT
Communicate with truckers, truck, trailers, loads, truck companies and client-customers
See weigh station
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38.
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Highways Billboards
Track truck drivers with customized messages to help in providing dynamic ads and messages in real time
Billboards main objective is advertisement. We need to study and run surveys to
insure the billboard messages are not a safety issue.
With current mobile phone, messages are personalized messages and advertisements
targeting the phone user and his/her habits and routines. We would architect
customized billboard messages to help drivers as well as entertain them. For
example, a driver close to the 8 hours break, may see a sequence of billboard
message to plan a stop at his/her favorite truck-stop or restaurant plus a funny
coupon message which he can use to get a discount.
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39.
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Rest Areas
Communicate with truckers, truck, trailers, loads, truck companies and client-customers
Rest areas and their services vary greatly between states. They also are part
of Trip Planner services which we are providing.
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40.
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Restaurants
Use trucking data for ads and promotions
See Highways Billboards
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41.
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Hotel List - prices and services
Use trucking data for ads and promotions
See Highways Billboards
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42.
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Truckers TV and Radios
Use trucking data for ads and promotions
See Chat and Email Services
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43.
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Hotel Owners and Companies
Use trucking data for ads and promotions
The pros and cons for over the road drivers is that tractors has a sleeper
for two drivers which is very convenient, but not ideal. Plus bathroom and
showers are also provided free by most truck stops. Not to mention that a large
number of drivers make their tractors their home and have TV and other electronic
devices. Such adaptation to over the road drivers has a price in term of living
conditions, family life, high turnaround employment and can have psychological
effect. Parking or finding parking in truck stops where there would be a number (over 100)
of trucks running all night and the pollution and the waste of fuel are something
which should not be ignored.
Personal Note:
Truck drivers are the horses which run the trucking business and investing in these
drivers will pay in fold in safety, performance and high turnaround employment. Truck
companies, federal, states, other truck service companies should help create accommodation
and fitness centers for these truckers. Tax incentive to companies and taxes deduction for
companies and drivers would also add to building and running truck accommodations.
Theme parks admissions to family plans should be provided as an incentive to truckers and their families.
We are recommending that hotels, hotel owners, truck companies, restaurants, truck
stops, game rooms, other entertainments would work on building an accommodation such
as hostels or inexpensive hotel and fitness centers. Such accommodation should be attractive, affordable
and worth its price.
We would be running a number of surveys to determined what over the road drivers
would like as an alternative to sleeping in the tractor.
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44.
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Truck Driver Entertainment
Use trucking data for ads and promotions - audio only (music, radio shows, stories, news, comedy ..)
See On The Road Personal Butler page
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45.
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Management System
Use data to provide management system
The first question is what is a management system?
A management system can be software management system, platforms, companies which provide management
services, Customer Relationship Management (CRM) or consulting services.
The second question is what type of management system is needed? data or processes.
Some of the common types of Management Information Systems include process control systems, human
resource management systems, sales and marketing systems, inventory control systems, office
automation systems, enterprise resource planning systems, accounting and finance systems and
management reporting systems.
Regardless of the management system, data is the core which we would use to help in any management system.
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46.
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Statistics
Use Data to provide statistical services
Historical data is the basis for prediction, probabilities, trends, tendencies, ..etc.
Statistical techniques such as modeling and data mining can be used by CRM system to be able
to predict the future based on the data collected from past performances. In short, in
order that we can predict the future, we need to look at the past and use statistical data.
Intelligent decision-making and abstract thinking are based on the statistical data which
it took place in the past. For example, if we look at the data collected from 10,000
truck-trailer tire issues for past 10 yours, and found that on an average a truck-trailer
tire would have an issue every 48 days. Then, we would set a schedule for tire inspection
every 45 days. Such inspection would save 5 hours wasted on the road plus the cost of tire repair.
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47.
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Google and Data Providers
Buy our data or team up in providing services
What is Google?
Google LLC is an American multinational technology company that specializes in
Internet-related services and products, which include online advertising technologies,
a search engine, cloud computing, software, and hardware. It is considered one of the
Big Five technology companies in the U.S. information technology industry, alongside
Amazon, Facebook, Apple, and Microsoft.
It short, Google's main service is collecting data and sells data back in term of services.
We would be sharing data and teaming up with Google to service our clients.
We need to research how we can team up with Google.
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Communication - Interfaces
Introduction:
Coming soon.
Support
Introduction:
Coming soon.
Tracking
Introduction:
Coming soon.
Reports
Introduction:
Coming soon.
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