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Microsimulation-based framework to analyse urban signalised intersection in mixed traffic
Proceedings of the Institution of Civil Engineers - Transport ( IF 0.8 ) Pub Date : 2021-01-04 , DOI: 10.1680/jtran.20.00048
Satyajit Mondal 1 , Ankit Gupta 2
Affiliation  

Microscopic traffic simulation is a powerful tool for studying complex traffic systems when analytical or empirical approaches cannot define response patterns adequately and accurately. The application of simulation techniques for evaluating the characteristics of controlled intersections is effective due to their quick and reliable outcomes. This paper presents a methodology for model development and a unique calibration process for mixed traffic streams using the widely used simulation software Vissim. An isolated signalised intersection was selected for the model development. Most of the calibration methodologies described in previous literature were based on informal practices based on a homogeneous traffic stream. This study frames a novel calibration process suitable for mixed traffic streams. The validity of the proposed methodology was evaluated using field data from another signalised intersection by means of a feasibility comparison of field data and simulation outputs. The calibrated parameters produced suitable simulation outputs, with the measure of effectiveness matching the result obtained from actual field conditions. In contrast, simulations with default or best-guess parameters resulted in significant discrepancies between the observed and simulated outputs.

中文翻译:

基于微观模拟的框架来分析混合交通中的城市信号交叉口

当分析或经验方法无法充分准确地定义响应模式时,微观交通模拟是研究复杂交通系统的强大工具。应用模拟技术来评估受控交叉口的特性是有效的,因为其结果快速且可靠。本文提出了一种使用广泛使用的仿真软件 Vissim 进行模型开发的方法和针对混合交通流的独特校准过程。选择一个孤立的信号交叉口进行模型开发。先前文献中描述的大多数校准方法都是基于基于同质交通流的非正式实践。这项研究构建了一种适用于混合交通流的新颖校准过程。通过现场数据和模拟输出的可行性比较,使用另一个信号交叉口的现场数据评估了所提出方法的有效性。校准的参数产生了合适的模拟输出,其有效性测量与实际现场条件获得的结果相匹配。相反,使用默认或最佳猜测参数进行的模拟会导致观察到的输出与模拟输出之间存在显着差异。
更新日期:2021-01-04
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