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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    Titel :

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


    Beteiligte:
    Xu, Biao (Autor:in) / Zhang, Fang (Autor:in) / Wang, Jianqiang (Autor:in) / Li, Keqiang (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2015 ; 363-375


    Erscheinungsdatum :

    13.07.2015




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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