TY - GEN
T1 - Traffic state prediction using Markov chain models
AU - Antoniou, Constantinos
AU - Koutsopoulos, Haris N.
AU - Yannis, George
N1 - Publisher Copyright:
© 2007 EUCA.
PY - 2007
Y1 - 2007
N2 - Motorway traffic management and control relies on models that estimate and predict traffic conditions. In this paper, a methodology for the identification and short-term prediction of the traffic state is presented. The methodology combines model-based clustering, variable-length Markov chains and nearest neighbor classification. An application of the methodology for short-term speed prediction in a freeway network in Irvine, CA, shows encouraging results.
AB - Motorway traffic management and control relies on models that estimate and predict traffic conditions. In this paper, a methodology for the identification and short-term prediction of the traffic state is presented. The methodology combines model-based clustering, variable-length Markov chains and nearest neighbor classification. An application of the methodology for short-term speed prediction in a freeway network in Irvine, CA, shows encouraging results.
UR - http://www.scopus.com/inward/record.url?scp=84927748780&partnerID=8YFLogxK
U2 - 10.23919/ecc.2007.7069053
DO - 10.23919/ecc.2007.7069053
M3 - Conference contribution
AN - SCOPUS:84927748780
T3 - 2007 European Control Conference, ECC 2007
SP - 2428
EP - 2435
BT - 2007 European Control Conference, ECC 2007
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2007 9th European Control Conference, ECC 2007
Y2 - 2 July 2007 through 5 July 2007
ER -