This paper presents an eco-driving optimization method for heterogeneous connected autonomous vehicles (CAVs) of mixed electric vehicles (EVs) and traditional fuel vehicles (FVs) at an isolated unsignalized intersection. An optimization method is designed to compute the arrival time of each vehicle in the heterogeneous vehicle fleet. Furthermore, we use quadratic programming to optimize the speed trajectory for EVs and the Gauss Pseudospectral method for FVs. Then, an eco-driving optimization method based on a rolling optimization framework that combines the time schedule algorithm and trajectory optimization method is proposed. We make a comparative study with the dynamic programming algorithm and simulation results show that our method outperforms the baselines, where the average energy consumption of EVs and FVs has been reduced by 0.09% and 0.14%, respectively.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Eco-Driving Optimization Method for Heterogeneous CAVs at an Isolated Unsignalized Intersection


    Contributors:
    Cai, Jianjun (author) / Liu, Yonggang (author) / Que, Wenwei (author) / Zhang, Yuanjian (author) / Chen, Zheng (author)


    Publication date :

    2023-10-13


    Size :

    1362868 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Virtual Platoon based CAVs Cooperative Driving at Unsignalized Intersection

    Cong, Xiangyue / Yang, Bo / Gao, Fengkun et al. | IEEE | 2022



    Study on Driving Risk Through Unsignalized Intersection

    Wu, Chuna / Zeng, Cheng / Meng, Xingkai et al. | Springer Verlag | 2025



    Unsignalized Intersection Simulation Model InterSim

    Fessman, V. | British Library Conference Proceedings | 1997