A stochastic process model for daily travel patterns and traffic information

Yongtaek Lim, Seung Jae Lee, Joohwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sudden changes on road networks, including new roads, bridge construction, road blockage or traffic accidents cause travelers to switch their routes to less costly ones as compared to alternative routes. Travelers, however, tend to take higher cost routes due to insufficient information and errors in perceived travel time. This may cause severe congestion on a certain route. Conventional models, however, are unable to adequately simulate travelers' behavior under such suddenly changing network conditions. The objective of this paper is to analyze travelers' daily travel behavior in such cases via a stochastic process, the Markov-chain approach, which is considered to be a suitable method for representing sudden changes in states. This model is based on agent and we assumes that travelers select their route via learning process of travel time that they had previously experienced.

Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings
PublisherSpringer Verlag
Pages102-110
Number of pages9
ISBN (Print)9783540728290
DOIs
StatePublished - 2007
Event1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007 - Wroclaw, Poland
Duration: 31 May 20071 Jun 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4496 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007
Country/TerritoryPoland
CityWroclaw
Period31/05/071/06/07

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