The main reason for traffic congestion at intersections in urban areas is non-actuated traffic light controllers which aren't equipped with capabilities to handle changes in the traffic flow throughout the day. Actuated traffic light controllers monitor the traffic conditions in real time and are equipped appropriately to react to varying changes in traffic flows thus reducing traffic congestion. We propose to use scheduling in actuated traffic light control to reduce traffic congestion and optimize traffic flow. We propose two traffic scheduling algorithms, Minimum Destination Distance First (MDDF) and Minimum Average Destination Distance First (MADDF) and compare their performance with existing scheduling algorithms as well as non-actuated traffic lights to curb long waiting times in queues at intersections. The simulation results proved the utility of the MDDF and MADDF algorithms since they were able to reduce the average waiting times by as much as 70% as compared to non-actuated traffic lights.


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    Title :

    Shortest remaining processing time based schedulers for reduction of traffic congestion


    Contributors:


    Publication date :

    2013-12-01


    Size :

    246575 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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