Open road cashless toll collection system and method using transponders and cameras to track vehicles

• US 6,140,941 A
• Filed: 01/17/1997
• Issued: 10/31/2000
• Est. Priority Date: 01/17/1997
• Status: Expired due to Term

• Current Assignee: Raytheon Company (Rtx Corporation)
• Original Assignee: Raytheon Company (Rtx Corporation)
• Inventors: McDaniel, Thomas L., Broad, Edward, Dwyer, Douglas, Perales-Herdt, Jeanne M., Feitelson, Stephen J., Gallagher, Gary S., O'Connor, Roger
• Primary Examiner(s): SWARTHOUT, BRENT
• Application Number:
  US08/785,179
• Time in Patent Office: 1,383 Days
• Field of Search: 340/928, 340/933, 340/937, 340/905, 235/384, 701/117, 348/148, 348/149
• US Class Current: 340/928
• CPC Class Codes: G07B 15/063 using wireless information transmission between the vehicle and a fixed station identification of vehicles G08G
• CPC Class Codes: G08G 1/017 identifying vehicles G08G1/015, G08G1/054 take precedence
• CPC Class Codes: G08G 1/04 using optical or ultrasonic detectors

Abstract

A cashless toll collection system and method that detects vehicles using transponders for prepaid customers and cameras for casual or non-transponder equipped vehicles. The system has a plurality of roadside toll collectors, one or more toll transaction processors, and a revenue management system. Each roadside toll collector has a vehicle to roadside communications system that communicates with transponders disposed in transponder equipped vehicles and generates entry and exit transaction reports indicating the entry and exit locations and times of the transponder equipped vehicles. Each roadside toll collector has a plurality of license plate cameras that selectively provide video images of license plates of vehicles that are not equipped with a transponder. Each roadside toll collector has a vehicle detector and classification system that detects the presence of vehicles, controls the cameras to capture the video images of the license plates, and generates entry and exit transaction reports indicating the entry and exit locations and times, and the license plate images of each detected vehicle that is not equipped with a transponder. The toll transaction processor processes the transaction reports to generate tolling transactions for each vehicle. The revenue management system processes the tolling transactions to generate tolls for each vehicle and generate bills for use of the toll road.

Claims

1. A method of determining tolls for use of a toll road for vehicles containing transponders and for vehicles that do not contain transponders, said method comprising the steps of:

detecting vehicles on the toll road and generating area data indicative of the particular position of a vehicle on the roadway and detection time of each vehicle at such position;

processing transponder ID codes for a transponder-equipped vehicle;

detecting the location of transponders associated with vehicles on the toll road and generating location data indicative of the location of the transponders;

determining whether a vehicle is a transponder-equipped vehicle by examining whether a correlation exists between the area data and the location data;

generating transaction reports for the transponder-equipped vehicles comprising information about a vehicle'"'"'s travel on the toll road;

generating video images of license plates of vehicles that do not contain a transponder;

processing the video images of the license plates to determine the license plate numbers of the vehicles that do not contain a transponder;

generating transaction reports for the vehicles tat do not contain transponders comprising information about a vehicle'"'"'s travel on the toll road; and

processing the respective transaction reports associated with each vehicle to determine tolls for the use of the toll road, and when a vehicle does not contain a transponder, performing the steps of;

isolating an image of the license plate of the vehicle derive from data obtained at the first individual location within one or more frames of video data using a pattern matching system;

processing the isolated image of the license plate obtained at the first individual location using optical character recognition software to determine the actual plate number;

isolating an image of the license plate of the vehicle derived from data obtained at the second different individual location within one or more flames of video data using the pattern matching system;

processing the isolated image of the license plate obtained at the second different individual location using optical character recognition software to determine the actual plate number; and

comparing the two actual license plate numbers to confirm that they match;

processing nonvideo data contained in the transaction reports to determine the tolls for use of the toll road.

2. The method of claim 1 wherein the steps of processing the video images of the license plates each comprise the step of:

processing the video images of the license plates using an optical character recognition program to determine the license plate numbers.

3. The method of claim 1 wherein the steps of detecting vehicles further comprises the step of detecting the vehicles using a plurality of laser beams.

4. The method of claim 3 wherein the step of detecting vehicles comprises processing signals derived from the plurality of laser beams to determine the speed, height, length and profile of the vehicles.

5. The method of claim 1 wherein the steps of processing transponder ID codes for transponder-equipped vehicles each comprise the step of:

communicating with the transponders using a slotted aloha time division multiple access communications protocol.

6. The method of claim 1, the step of comparing the two actual license plate numbers further comprising the steps of:

in cases where a match is not found, or a low confidence match is obtained;

comparing the image of the license plate obtained at the second different individual location with candidate images of license plates that potentially match using video correlation matching of the license plate images; and

manually evaluating the correlation matched license plate images to determine an actual match.