A two-stage variable speed limits (VSL) modelling framework is proposed to enhance traffic safety and efficiency at freeway bottlenecks with mixed traffic flow comprising both human-driven and autonomous vehicles. The first-stage macroscopic VSL control framework is based on an extended cell transmission model (ECTM) and a VSL optimal control model. The ECTM serves as a traffic state predictor and characterises mixed traffic flow by modelling various characteristics such as driving behaviours and flow performance. The ECTM-based optimal control model aims to improve safety and efficiency. The second-stage microscopic validation framework is designed using the VISSIM_COM to validate the effectiveness and sophistication of the proposed VSL strategy. The proposed strategy is compared with a fixed speed limit strategy (FSL) and a VSL strategy considering only efficiency improvement (VSL_E). The results demonstrate that the proposed strategy improves traffic efficiency compared to the FSL and significantly outperforms VSL_E in traffic safety.


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    Title :

    Variable speed limit modelling to improve traffic safety and efficiency of mixed traffic flow by a two-stage framework


    Additional title:

    TRANSPORTMETRICA A: TRANSPORT SCIENCE
    J. JIN ET AL.


    Contributors:
    Jin, Jieling (author) / Huang, Helai (author) / Li, Ye (author) / Zhang, Gongquan (author) / Dong, Yuxuan (author) / Zhou, Bo (author) / Xue, Hongli (author)


    Publication date :

    2025-05-04


    Size :

    25 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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