Heavy vehicle traffic flow optimization
First Claim
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1. A method for heavy vehicle traffic flow optimization, comprising:
- reading, from vehicles using cameras, indicia on the vehicles indicative of the vehicles being qualifying heavy vehicles;
predicting whether respective weights of the vehicles are indicative of the vehicles being the qualifying heavy vehicles based on observed overall dimensions of the vehicles from images captured by the cameras;
determining location information and destination information of the qualifying heavy vehicles; and
modifying one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information,wherein each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold, andwherein the one or more traffic signal sequences are modified to optimize the traffic flow of the qualifying heavy vehicles while minimizing a total pavement damage caused by the qualifying heavy vehicles using a minimization function that considers a vehicle position, a vehicle velocity, and a vehicle acceleration.
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Abstract
There is provided a method for heavy vehicle traffic flow optimization. The method includes determining location information and destination information of qualifying heavy vehicles. The method further includes modifying one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information. Each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold.
14 Citations
24 Claims
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1. A method for heavy vehicle traffic flow optimization, comprising:
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reading, from vehicles using cameras, indicia on the vehicles indicative of the vehicles being qualifying heavy vehicles; predicting whether respective weights of the vehicles are indicative of the vehicles being the qualifying heavy vehicles based on observed overall dimensions of the vehicles from images captured by the cameras; determining location information and destination information of the qualifying heavy vehicles; and modifying one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information, wherein each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold, and wherein the one or more traffic signal sequences are modified to optimize the traffic flow of the qualifying heavy vehicles while minimizing a total pavement damage caused by the qualifying heavy vehicles using a minimization function that considers a vehicle position, a vehicle velocity, and a vehicle acceleration. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer readable storage medium comprising a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform the following:
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read, from vehicles using cameras, indicia on the vehicles indicative of the vehicles being qualifying heavy vehicles; predict whether respective weights of the vehicles are indicative of the vehicles being the qualifying heavy vehicles based on observed overall dimensions of the vehicles from images captured by the cameras; receive location information and destination information of the qualifying heavy vehicles; and modify one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information, wherein each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold, and wherein the one or more traffic signal sequences are modified to optimize the traffic flow of the qualifying heavy vehicles while minimizing a total pavement damage caused by the qualifying heavy vehicles using a minimization function that considers a vehicle position, a vehicle velocity, and a vehicle acceleration.
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18. A system having at least a processor and a memory device for implementing a method for heavy vehicle traffic flow optimization, comprising:
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cameras for reading from vehicles indicia on the vehicles indicative of the vehicles being qualifying heavy vehicles, and for capturing images that include observed overall dimensions of the vehicles; weight evaluating circuitry for predicting respective weights of the vehicles indicative of the vehicles being qualifying heavy vehicles based on the observed overall dimensions of the vehicles from the images captured by the cameras; a receiver for receiving location information and destination information of the qualifying heavy vehicles; and a controller, operatively coupled to the receiver, for modifying one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information, wherein each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold, and wherein the one or more traffic signal sequences are modified to optimize the traffic flow of the qualifying heavy vehicles while minimizing a total pavement damage caused by the qualifying heavy vehicles using a minimization function that considers a vehicle position, a vehicle velocity, and a vehicle acceleration. - View Dependent Claims (19, 20, 21, 22, 23, 24)
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Specification