1999 Fiscal Year Final Research Report Summary
Experimental Studies on Driver's Route Choice Behaviour in Actual Road Network
| Project/Area Number |
10650529
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
交通工学・国土計画
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| Research Institution | Ehime University |
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Principal Investigator |
ASAKURA Yasuo Ehime University, Dept. of Civil & Environmental Eng. Professor, 工学部, 教授 (80144319)
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| Co-Investigator(Kenkyū-buntansha) |
HATO Eiji Ehime University, Dept. of Civil & Environmental Eng. Assistant Professor, 工学部, 助手 (60304648)
FUTAGAMI Tohru Ehime University, Dept. of Civil & Environmental Eng. Lecturer, 工学部, 講師 (40229084)
KASHIWADANI Masuo Ehime University, Dept. of Civil & Environmental Eng. Professor, 工学部, 教授 (00026254)
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| Project Period (FY) |
1998 – 1999
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| Keywords | Intelligent Transport System / Route Choice / Tansport Network |
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| Research Abstract |
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.
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