TY - GEN
T1 - A stochastic process model for daily travel patterns and traffic information
AU - Lim, Yongtaek
AU - Lee, Seung Jae
AU - Kim, Joohwan
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=39649092502&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72830-6_11
DO - 10.1007/978-3-540-72830-6_11
M3 - Conference contribution
AN - SCOPUS:39649092502
SN - 9783540728290
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 102
EP - 110
BT - Agent and Multi-Agent Systems
PB - Springer Verlag
T2 - 1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007
Y2 - 31 May 2007 through 1 June 2007
ER -
