Connected and autonomous vehicles (CAVs) employ advanced communication and automation control technologies that can drive more safely than (HVs) human-driven vehicles, thereby potentially enhancing traffic efficiency. In order to give full play to the advantages of CAVs, the construction of dedicated lanes(DL) has been regarded as an effective way. However, In the early stage of the development of CAVs, the construction of dedicated lanes for CAVs on freeway may lead to waste of road resources and require huge costs. Therefore, considering allowing CAVs to enter the existing HOV lanes, an innovative idea of shared lanes between CAVs and HOVs was proposed, and the traffic flow performance of the shared lanes was analyzed. Numerical simulations of the proposed four shared-lane management strategies were carried out by building a cellular automaton model of mixed traffic flow of two-way eight-lane freeway: SL (single-lane management strategy), (TCFC) vehicles under two lanes can change lanes freely management, (TCNC) vehicles under two lanes cannot change lanes, (TOAC) only CAVs under two lanes can freely change lanes. Parameters such as (HOVs and CAVs ratio) Pah, (CAVs penetration rate) Pa, flow, and speed were quantitatively analyzed to evaluate the adaptability of each shared lane management strategy. Simulation results show: with the penetration rate of CAVs increase, the traffic efficiency is improved. When Pah is 10–30%, it is recommended to adopt SL strategy, when Pah is 40–60% and Pa < 40%, adopt TCNC or TCFC strategy, and when Pa ≥ 40%, adopt TOAC management strategy. When Pah > 70%, it is no longer appropriate to set the shared lane, which will increase the congestion of the shared lane. The result provide policy recommendations for future freeway managers. It will help to improve lane utilization and stimulate people's use of CAVs and HOVs and improve road traffic efficiency.


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    Title :

    Management Strategy of Freeway HOV and CAV Shared Lanes


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Guo, Hongwei (editor) / Jiang, Xiaobei (editor) / Shi, Jian (editor) / Sun, Dongxian (editor) / Yang, Jiawei (author) / Yao, Xinpeng (author) / Li, Jie (author) / Wang, Zijian (author) / Zhang, Han (author)

    Conference:

    International Conference on Green Intelligent Transportation System and Safety ; 2022 ; Qinghuangdao, China September 16, 2022 - September 18, 2022



    Publication date :

    2024-09-29


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English