In this study, an eco-driving control algorithm is proposed for obtaining vehicle speed profiles approaching intersections to improve fuel efficiency and reduce travel time. Information of traffic signals and surrounding traffic is assumed to be known and available to vehicles via connected vehicle (CV) technology. A novel aspect of this algorithm is its integration of inter-vehicle space into driving control, which makes the eco-driving algorithm feasible for vehicle fleets at signalized intersection. The fundamental idea of the algorithm is to smooth driving trajectory and avoid stops at red light. Optimal acceleration or deceleration rate and duration can be generated by the algorithm for vehicles to travel through intersections with least fuel consumption, under the constraints of vehicle kinematics, surrounding vehicles and traffic signals. A genetic algorithm is conducted to solve this nonlinear optimization problem. Results of numerical test indicate effectiveness of the proposed algorithm in improvement of fuel efficiency.


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    Titel :

    Development of an Eco-Driving Control Algorithm in Urban Area Using Connected Vehicle Technology


    Beteiligte:
    Yang, Menglin (Autor:in) / Liu, Pan (Autor:in) / Yu, Hao (Autor:in) / Bao, Jie (Autor:in)

    Kongress:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Erschienen in:

    CICTP 2017 ; 3010-3019


    Erscheinungsdatum :

    2018-01-18




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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