This paper presents a continuous-time dynamic system optimum model for Link-Based Dynamic Network Loading, which aims to determine the minimum total travel time. To account for lane-changing effects and spillbacks, a link-based double queue model is utilized and extended into the Lane-Changing double queue model by incorporating the concept of lane-changing intensity. To address the time-varying nonlinear component resulting from lane-changing intensity, a solution approach combining a heuristic genetic algorithm and a linear programming solver is proposed. Its objective is to find an optimal solution by approximating the actual values of lane-changing intensity. The effectiveness of the proposed model and solution procedure is evaluated using a network with multiple OD pairs in numerical experiments. The results provide empirical evidence of the model’s ability to capture lane-changing effects.


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    Title :

    Dynamic Network Loading Model Considering Lane-Changing Effects


    Contributors:
    Wang, Yuchen (author) / Yu, Hao (author) / Han, Yu (author) / Li, Zhenning (author) / Li, Jiaxin (author)

    Conference:

    24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China


    Published in:

    CICTP 2024 ; 141-152


    Publication date :

    2024-12-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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