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Optimized traffic signal control system at traffic intersections using VANET
Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in a pre timed slot manner. This pre-timed controller approach fails to minimize the waiting time of vehicles at the traffic intersection since it doesn't not consider the arrival time of vehicle...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in a pre timed slot manner. This pre-timed controller approach fails to minimize the waiting time of vehicles at the traffic intersection since it doesn't not consider the arrival time of vehicles. To overcome this problem an adaptive and intelligent traffic control system is proposed here by implementing the platooning and oldest job first algorithm. In the proposed system, a traffic signal controller with wireless radio installed is placed at the intersection and it is assumed as infrastructure of VANET. All the vehicles are equipped with onboard location and speed sensors and a wireless radio to communicate with the infrastructure thereby VANET is formed. Once enter into the boundary of traffic area, the vehicles broadcast their positional information as data packet with their encapsulated ID in it. The controller at the intersection receives the transmitted packets from all the legs of intersection and then stores them in a log file. Now the controller runs Platooning algorithm which groups the vehicles into approximately equal size of platoons or groups according to the time. The platoons are formed on the basis of data disseminated by the vehicles. Then the controller runs Oldest Job First algorithm which treats platoons as jobs. The algorithm schedules jobs in conflict free manner and ensures all the jobs utilize equal processing time i.e the vehicles of each platoons cross the intersection at equal delays. The proposed approach is evaluated under various traffic volumes and the performance is analyzed. |
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DOI: | 10.1049/ic.2013.0330 |