An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

Dia, H. F. (2002) An agent-based approach to modelling driver route choice behaviour under the influence of real-time information. Transportation Research Part C-emerging Technologies, 10 5-6: 331-349. doi:10.1016/S0968-090X(02)00025-6

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Author Dia, H. F.
Title An agent-based approach to modelling driver route choice behaviour under the influence of real-time information
Journal name Transportation Research Part C-emerging Technologies   Check publisher's open access policy
ISSN 0968-090X
Publication date 2002-01-01
Sub-type Article (original research)
DOI 10.1016/S0968-090X(02)00025-6
Open Access Status File (Author Post-print)
Volume 10
Issue 5-6
Start page 331
End page 349
Total pages 19
Place of publication New York
Publisher Pergamon
Language eng
Subject 2203 Automotive Engineering
3313 Transportation
1706 Computer Science Applications
1803 Management Science and Operations Research
Abstract This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters' responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers' behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief-desire-intention agent architecture. (C) 2002 Elsevier Science Ltd. All rights reserved.
Keyword Transportation Science & Technology
Autonomous Agents
Intelligent Transportation Systems
Traveller Information Systems
Travel Behaviour
Microscopic Traffic Simulation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 142 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 187 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 23:20:02 EST