Efficient modeling of vehicular traffic remains a largely debated issue especially in context of Indian heterogeneous driving conditions. VISSIM is a microscopic traffic simulation software that is gaining increasing recognition in India. However, modifications to the default behavioral parameters are essential to effectively simulate Indian heterogeneous traffic conditions. This paper presents a method and results on sensitivity analysis and automatic calibration of VISSIM model using data from an intersection in Chennai. This intersection has heavy flows during the peak time. VISSIM parameters affecting driving behaviour in Indian heterogeneous conditions were found using sensitivity analysis. ANOVA and elementary effects method were used in sensitivity analysis. The model was calibrated using Visual C++ COM interface of VISSIM. Genetic Algorithm was used to find the optimal combination of sensitive parameters during calibration.
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机译：高效的车辆交通建模仍然是一个备受争议的问题，尤其是在印度的异构驾驶条件下。 VISSIM是一种微观交通模拟软件，在印度得到越来越多的认可。但是，对默认行为参数的修改对于有效模拟印度的异构交通状况至关重要。本文提出了一种使用钦奈路口的数据对VISSIM模型进行灵敏度分析和自动校准的方法和结果。在高峰时间，这个路口流量很大。使用敏感性分析发现了影响印度非均质条件下驾驶行为的VISSIM参数。方差分析和基本效应方法用于敏感性分析。使用VISSIM的Visual C ++ COM接口对模型进行了校准。遗传算法用于在校准过程中找到敏感参数的最佳组合。
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