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Calibration Methodology of Microsimulation Model for Unsignalized Intersection under Heterogeneous Traffic Conditions

机译:异构交通条件下无信号交叉口微观仿真模型的标定方法

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Indian unsignalized intersections operate quite differently in comparison to their western counterparts. To address traffic heterogeneity, lane indiscipline, non-priority rules, lack of movement control, and non-uniform road geometry that exist on Indian roads, microsimulation is the best-suited technique. While a few attempts have been made on the calibration of signalized intersection under heterogeneous traffic, unsignalized one is still an unexplored area. Hence, the present study proposes a calibration methodology of PTV VISSIM simulation model for an unsignalized intersection under heterogeneous traffic condition. The 85th percentile accepted gap time is utilized as a performance measure in calibration. Calibration parameters are identified using Morris sensitivity analysis, and their optimum values are obtained using genetic algorithm (GA). Simulation results show that VISSIM provides reasonable accepted gap time for the unsignalized intersection. Overall, it is concluded that, using the proposed methodology, the developed network performs well and replicates field situation efficiently.
机译:印度的无信号交叉路口与西方的交叉路口相比有很大不同。为了解决印度道路上存在的交通不均,车道不规则,不优先规则,缺乏运动控制以及道路几何形状不均匀的问题,微观模拟是最合适的技术。尽管在异构交通情况下对信号交叉口的校准进行了一些尝试,但未信号化的交叉口仍是未开发的区域。因此,本研究提出了在异构交通条件下无信号交叉口的PTV VISSIM仿真模型的校准方法。 85%的可接受间隙时间被用作校准中的性能指标。使用莫里斯灵敏度分析识别校准参数,并使用遗传算法(GA)获得其最佳值。仿真结果表明,VISSIM为无信号交叉口提供了合理的可接受间隙时间。总的来说,得出的结论是,使用所提出的方法,发达的网络表现良好,并有效地复制了实地情况。

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