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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    Titel :

    Dynamic Network Loading Model Considering Lane-Changing Effects


    Beteiligte:
    Wang, Yuchen (Autor:in) / Yu, Hao (Autor:in) / Han, Yu (Autor:in) / Li, Zhenning (Autor:in) / Li, Jiaxin (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2024 ; 141-152


    Erscheinungsdatum :

    11.12.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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