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

考虑微观交通现象和驾驶员属性的交通分配模型

基本信息

批准号：
06650585
负责人：
KUBOTA Hisashi
金额：
$ 1.47万
依托单位：
SAITAMA University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1995
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-06650585/
关键词：
tiss-NET WIN Traffic Impact Route choice Traffic simulation Traffic assignment model

项目摘要

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.

本研究的目的是开发一个创新的模拟系统，名为“tiss-NET WIN （traffic impact study system for road NETwork for WINdows）”，该系统将交通分配和逐车交通模拟相结合。该系统对交通影响研究非常有用。在本研究中，tis.net WIN的源程序最初是在Windows上开发的。tiss-NET的轮廓如下：-街道被划分为5米长的“隔间”，以表达一辆一辆汽车在街道上的运动。-每辆车通过最小路径从起点到达目的地，最小路径是根据实际行程时间记录计算的，考虑了任何微观行为，包括十字路口的转弯延迟和路边停车的影响。-仿真结果用动画和统计两种方式表示。本研究的另一个重点是分析汽车驾驶员的寻路和/或路线选择机制。研究者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，要求被试自己开车到达目标。本研究的最终目标是开发修订版的tiss-NET WIN，该WIN可以考虑每个驾驶员的经验和特点。在本研究中，研究者开发了“交叉区分模型”作为实现目标的第一步。