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Analyzes on Route Choice Behavior of Car Drivers and Modeling for Traffic Assignment

汽车驾驶员路径选择行为分析及交通分配建模

基本信息

批准号：
07650622
负责人：
HIROBATA Yasuhiro
金额：
$ 1.34万
依托单位：
TOYOHASHI UNIVERSITY OF TECHNOLOGY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1996
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07650622/
关键词：
route choice behavior departure time traffic assignment day-to-day variation 交通量配分交通網計画

项目摘要

1.The purpose and contents of the studyIn this study, in order to improve the precision of traffic assignment, based on a survey of car drivers' actual travel behavior, we firstly analyze the influencing factors of route choice behavior and departuretime decisions. Then, we develop a route choice model and examine the applicability of it to the real road network assignment. Secondly, based on the idea that it is necessary to develop a model incorporating the within-day dynamics and day-to-day dynamics in traffic conditions, after the presentation of a basic model we examine the real states of the dynamics in traffic conditions by using traffic surveys on several days.2.The results of the studyThe results of the study are as follows :(1) In addition to the travel-time-related factors which have been used in the traditional traffic assignment, factors such as truck volumes and driving views can not be ignored.(2) The value of the safety margin which influences on the departure-time of travel reflects the magnitude of the loss of the delay in designated arrival time, and it is dependent on factors such as the trip purpose and traveler's characteristics.(3) The goodness of fit of the traffic assignment model incorporating the probit-based stochastic route choice model is better than that of the deteministic equilibrium model, but is a little worse than that of logit-based stochastic model.(4) The existence of the day-to-day variation in traffic conditions is confirmed by analyzing the data of surveys on several days.

1.研究目的和内容为了提高交通分配的精确度，在对汽车驾驶员实际出行行为调查的基础上，首先分析了路径选择行为和发车时间决策的影响因素。然后，我们建立了路径选择模型，并检验了该模型在实际路网分配中的适用性。其次，基于有必要建立一个包含交通状况下的日内动态和日常动态的模型的思想，在提出了一个基本模型的基础上，利用多天的交通调查来检验交通状况下的动态变化的真实状态。研究结果如下：(1)除了传统交通分配中使用的与行程时间相关的因素外，(2)影响出行出发时间的安全裕度的大小反映了指定到达时间延误损失的大小，它取决于出行目的和出行者特征等因素。(3)基于概率随机路径选择模型的交通分配模型的拟合优度好于确定性均衡模型。但比基于Logit的随机模型要差一些。(4)通过对多日调查数据的分析，证实了交通状况日变化的存在。