ROAD TOLLING

• US 20150088618A1
• Filed: 12/01/2014
• Published: 03/26/2015
• Est. Priority Date: 08/26/2013
• Status: Abandoned Application

• Current Assignee: Appy Risk Technologies Limited (Trak Global Group Ltd.)
• Original Assignee: IMS Solution, Inc.
• Inventors: Basir, Otman A., Miners, William Ben
• Application Number:
  US14/556,977
• Publication Number:
  US 20150088618A1
• Time in Patent Office: Days
• US Class Current: 705/13
• CPC Class Codes: G07B 15/063 using wireless information transmission between the vehicle and a fixed station identification of vehicles G08G

Abstract

A precision usage-based transportation infrastructure charging service includes a dynamic road and infrastructure usage engine that can fairly assess road usage based on any combination of mileage, time of day, vehicle mass, location, road class, defined zones and other relevant parameters. This flexible service leverages detailed vehicle driving information to generate road usage summaries, detailed validation data, and invoices or bills where appropriate. This service applies not only to movement along road networks, but also includes time-based and complex rules that support usage-based charging within parking lots, and usage-based charging based on per-person transportation efficiency and environmental impact.

Claims

1. A system for assessing transportation infrastructure usage comprising:

an on-board unit installed on a vehicle, the on-board unit configured to obtain one or more parameters describing vehicle usage and location; and

a server receiving the one or more parameters from the on-board unit to assess transportation infrastructure usage by the vehicle.

2. The system of claim 1 wherein the parameters include driving events, number of vehicle occupants, environmental impact, and infrastructure impact.

3. The system of claim 1 wherein server is configurable to assess the transportation infrastructure usage before and/or after deployment to assess usage using static or dynamic rules.

4. The system of claim 1 wherein the one or more parameters include idling time, emissions, mileage, time of day, vehicle mass, location, road class, vehicle class, and defined zones.

5. The system of claim 1 wherein the transportation infrastructure usage information is transformed into a usage fee.

6. The system of claim 5 wherein the usage fee is delivered to an owner of the vehicle by generating transportation infrastructure usage summaries, detailed validation data, and invoices/bills with objective evidence to support each usage fee.

7. The system of claim 1 wherein individual usage information is validated using aggregate vehicle movement information, vehicle movement information from vehicles in close proximity to the vehicle in question, and/or infrastructure reference points.

8. The system of claim 6 wherein the server is configured to generate the usage fee based upon the lanes in which the vehicle travels.

9. The system of claim 8 wherein the server is configured to generate the fee based upon the total number of occupants within the vehicle.

10. The system of claim 8 wherein server is configured to generate the usage fee based upon time-varying parameters including traffic congestion peak times and recent traffic load estimates

11. The system of claim 8 wherein the location information is obtained from satellite and accelerometers.

12. A method for providing parking services including the steps of:

determining a resting location of a vehicle;

determining that the location of the vehicle is in a parking zone;

identifying the time and duration of the resting location of the vehicle within the parking zone; and

applying parking fee rules based upon the time and duration of the vehicle in the parking zone.

13. The method of claim 12 wherein the parking fee rules include a factor to encourage the use of mass transit.

14. A method of validating road usage compliance including the steps of:

automatically obtaining license plate details on restricted use lanes; and

cross referencing the license plate details on restricted use lanes against location data reported from the vehicle.