Traffic Assignment Model considering Micro-level Traffic Phenomena and Drivers'Attributes

本研究旨在开发一种集交通分配与逐车交通模拟于一体的创新模拟系统TISS-Net Win(TISS-Net Win)(TISS-Net Win)。在本研究中，TISS-Net Win的源程序最初是在Windows平台上开发的。TISS-Net的轮廓如下：-将街道划分为5米长的“车厢”，以表示汽车在街道上的移动。-每辆车通过最短路径从起点到目的地，该最短路径是根据实际出行时间记录计算的，该最短路径考虑了各种微观行为，包括十字路口的转弯延误和路边停车的影响。-模拟结果以动画和统计的形式表达。本研究的另一个重点是分析汽车驾驶员寻找路径和/或选择路径的机制。研究人员通过控制驾驶员信息的质量和数量进行了一些汽车驾驶实验，让受试者自己驾车前往目的地，最终目的是开发出能够考虑每个驾驶员的经验和特征的修订的TISS-Net Win。在这项研究中，研究人员开发了“交叉点辨别模型”，作为迈向目标的第一步。

The aim of this study is to develop an innovative simulation system named "tiss-NET WIN (traffic impact study system for road NETwork for WINdows)", which combines both traffic assignment and car-by-car traffic simulation. This system would be quite useful for traffic impact study.In this study, source program of tiss-NET WIN was originally developed on Windows. The outline of tiss-NET is as follows :-Streets are divided into 5-meter-length "compartments" to express car by car movement in the street.-Each vehicle proceeds from origin to the destination through minimum path that is calculated using actual record of trip time considering any kind of micro behavior including turning delay in intersections and influence of on-street parking.-Result of the simulation is expressed by animation as well as by statistics.Another focus of this study is to analyze the mechanism of route finding and/or route choice of car drivers. Investigators conducted some experiments of car driving by controlling the quality and quantity of information of drivers, in which subjects were asked to drive to the goal by himself.The ultimate goal of this study is to develop the revised tiss-NET WIN which can consider the each driver's experience and characteristics. In this study, investigators developed 'the intersection discriminate model' as the first step to the goal.