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Experimental Studies on Driver's Route Choice Behaviour in Actual Road Network

实际路网中驾驶员路径选择行为的实验研究

基本信息

批准号：
10650529
负责人：
ASAKURA Yasuo
金额：
$ 1.98万
依托单位：
Ehime University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10650529/
关键词：
Intelligent Transport System Route Choice Tansport Network iTS 道路ネットワーク

项目摘要

This study focused on the actual driver's route choice behaviour in road networks. Previous studies on route choice behaviour in transport networks were reviewed both theoretical side and observation side. It was found that experimental data in actual networks were very few and route choice models were not sufficiently verified in actual networks. Thus, route choice experiment was made in the actual road network in Matsuyama. Pre-trip route choice and actual route choice including en-route switching were observed through questionnaire survey and onboard survey. Analysis of route choice data of drivers were summarized as follows. Pre-trip route choice behaviour of a driver is assumed to separated into two phases ; path set generation process and choice process. In the first phase, we have proposed an algorithm of extracting a path set between a pair of origin and destination. The screening method using the k-th shortest path algorithm was combined with the EBA(Elimination by Aspects) method. A feasible path set can be extracted from an actual road network. The validity of the proposed algorithm was verified though the comparative study with the Dial's efficient path algorithm. The route choice phase from a feasible set can be described using multiple logit model. We incorporated some variables explaining the complexity of a network. They are the structure of an intersection and the difference of road function along the route. It was found those variables should be involved into route choice model as well as time and cost variables of travel.

本研究主要针对道路网络中驾驶员的实际路径选择行为。从理论和观测两个方面对交通网络中路径选择行为的研究进行了综述。结果发现，在实际网络中的实验数据很少，路由选择模型在实际网络中没有得到充分的验证。因此，在松山的实际道路网络中进行了路径选择实验。通过问卷调查和车载调查观察了出行前路线选择和实际路线选择（包括途中转换）。驾驶员的路线选择数据分析总结如下。假设驾驶员出行前的路径选择行为分为两个阶段：路径集生成过程和路径选择过程。在第一阶段，我们提出了一个算法，提取一对起点和终点之间的路径集。采用第k条最短路径算法的筛选方法与EBA（方面消除）方法相结合。从实际道路网络中提取可行路径集。通过与Dial有效路径算法的比较研究，验证了该算法的有效性。从可行集出发的路径选择阶段可以用多个logit模型来描述。我们引入了一些变量来解释网络的复杂性。它们是交叉口的结构和沿着道路功能的差异。研究发现，这些变量应与出行时间和费用变量一样纳入路径选择模型。