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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Yang, Menglin (author) / Liu, Pan (author) / Yu, Hao (author) / Bao, Jie (author)

    Conference:

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


    Published in:

    CICTP 2017 ; 3010-3019


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Driving pattern development of an urban area

    Kyriakis,N.A. / Nakos,C.F. / Pattas,K.N. et al. | Automotive engineering | 1992


    Driving Pattern Development of an Urban Area

    Kyriakis, N. A. / Pattas, K. / Samaras, Z. et al. | British Library Conference Proceedings | 1992


    Connected Vehicle Accelerates Green Driving

    Nobe, Tsuguo | SAE Technical Papers | 2010