Signalized intersections play important roles in transportation efficiency and vehicle fuel consumption. The upcoming signal information obtained by DSRC communication can be used for green light optimal speed advisory (GLOSA) to design the optimal velocity profile of approaching vehicles, which benefits fuel economy and traffic efficiency. In this paper, the branch and bound (B&B) algorithm based GLOSA applying to contiguous intersections is developed, aiming to improve the fuel economy. Using a communication platform, field tests were conducted to verify the GLOSA algorithm. The tests results indicate that, in free-flow conditions, the GLOSA algorithm can decrease stop times and fuel consumption without sacrificing trip efficiency.


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    Title :

    B&B Algorithm-Based Green Light Optimal Speed Advisory Applied to Contiguous Intersections


    Contributors:
    Xu, Biao (author) / Zhang, Fang (author) / Wang, Jianqiang (author) / Li, Keqiang (author)

    Conference:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Published in:

    CICTP 2015 ; 363-375


    Publication date :

    2015-07-13




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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