The invention discloses a novel mixed traffic flow-oriented diversion area traffic flow distribution method, which comprises the following steps: collecting traffic data of an urban expressway diversion area, and carrying out data processing, model analysis and solution through steps S1 to S6 to realize distribution of HDVs and CAVs; s1, traffic data processing; s2, constructing a shunting area scene; s3, constructing an upper-layer model: maximizing the operation efficiency of the shunting area; s4, constructing a lower-layer model: performing mixed and balanced distribution; s5, a genetic algorithm solution algorithm; and S6, outputting a distribution area distribution result. The invention provides a shunting area mixed traffic flow distribution method based on a bilevel programming model, which constructs the bilevel programming model aiming at the CAVs and HDVs mixed traffic flow equalization problem, analyzes the influence of the shunting area main line lane layout and ramp flow on the main line mixed traffic flow operation, reveals the dynamic characteristics and the operation rule of the mixed traffic flow, and improves the traffic flow distribution efficiency. The optimal lane changing path of the CAVs is solved and optimized, the balance of the mixed traffic flow is coordinated, and the operation safety and efficiency of the shunting area are improved.

    本发明公开了一种面向新型混合交通流的分流区交通流分配方法,对城市快速路分流区交通数据进行收集,经过步骤S1至S6进行数据处理、模型分析与求解,实现对HDVs和CAVs的分配;S1、交通数据处理;S2、分流区场景构建;S3、构建上层模型:最大化分流区运行效率;S4、构建下层模型:混合均衡分配;S5、遗传算法求解算法;S6、输出分流区分配结果。本发明提出一种基于双层规划模型的分流区混合交通流分配方法,构建针对CAVs和HDVs混合交通流均衡问题的双层规划模型,分析分流区主线车道布局和匝道流量对主线混合交通流运行的影响,揭示混合交通流的动态特性与运行规律,求解并优化CAVs的最优换道路径,协调混合交通流的均衡性,实现分流区运行安全与效率的提升。


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    Titel :

    Flow distribution area traffic flow distribution method for novel mixed traffic flow


    Weitere Titelangaben:

    一种面向新型混合交通流的分流区交通流分配方法


    Beteiligte:
    XING RURU (Autor:in) / LIANG YIWEN (Autor:in) / YANG TAO (Autor:in) / ZHANG XINGHUA (Autor:in) / LIU JIAOYAN (Autor:in) / PAN GUORONG (Autor:in) / LI JIAYI (Autor:in)

    Erscheinungsdatum :

    30.05.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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