Multi-objective optimization for real time traffic light control and navigation systems for urban saturated networks
First Claim
1. A method for real time adaptive traffic light control of a plurality of intersection through evaluating traffic flow through the plurality of intersections, said method comprising the steps of:
- a) evaluating traffic flow through the plurality of intersections wherein a current vehicle loading and vehicle congestion on the plurality of intersection is generated by measuring from the air or from space an image brightness for each of the plurality of intersections from one or more of a space borne high resolution camera, a thermal imaging camera or air satellite surveillance radar including synthetic aperture radar (SAR); and
b) determining a timing of green lights for said plurality of intersections,a. wherein in step a) the current vehicle loading is generated by using brightness heterogeneity analysis of approaching lane regions and exit lane regions of the plurality of intersections, and the determining of the timing of the green lights for said plurality of intersections is based on the current vehicle loading, andb. wherein the brightness heterogeneity analysis is based on pixel brightness variance of image pixel strings inside designated boundary polygon regions that represent the approaching lane regions and the exit lane regions.
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Abstract
A multiobjective management system for saturated traffic road networks comprising: green wave coordination of locally adaptive traffic control units, traffic movement optimization and live traffic route guidance. Current traffic congestion measurements on intersections are generated from local traffic cameras and remote air-borne conventional cameras and thermal sensing imaging cameras or satellite radar such as SAR/ISAR using optical image brightness analysis. At the first stage of traffic optimization, individual local intersection green times are computed based on current traffic congestion level. At the second stage optimization, the central traffic server uses a multiobjective approach to coordinate the current locally-optimized green times of the first stage and create input constraints for green-way coordination of plurality of traffic lights. The server updates dynamically current cycle start and green times on all network-connected traffic light controllers and also broadcasts recommended travel times, green times and green waves to all on-line client vehicle navigation units. Traffic server and individual client guidance units utilize novel time-dependent modifications of an A*-type algorithm to update current travel and recommended travel times and to execute fastest route searches.
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Citations
6 Claims
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1. A method for real time adaptive traffic light control of a plurality of intersection through evaluating traffic flow through the plurality of intersections, said method comprising the steps of:
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a) evaluating traffic flow through the plurality of intersections wherein a current vehicle loading and vehicle congestion on the plurality of intersection is generated by measuring from the air or from space an image brightness for each of the plurality of intersections from one or more of a space borne high resolution camera, a thermal imaging camera or air satellite surveillance radar including synthetic aperture radar (SAR); and b) determining a timing of green lights for said plurality of intersections, a. wherein in step a) the current vehicle loading is generated by using brightness heterogeneity analysis of approaching lane regions and exit lane regions of the plurality of intersections, and the determining of the timing of the green lights for said plurality of intersections is based on the current vehicle loading, and b. wherein the brightness heterogeneity analysis is based on pixel brightness variance of image pixel strings inside designated boundary polygon regions that represent the approaching lane regions and the exit lane regions. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification