메뉴 건너뛰기




Volumn 42, Issue 4, 2008, Pages 325-338

Travel time estimation on a freeway using Discrete Time Markov Chains

Author keywords

Breakdown; Discrete Time Markov Chains; Expected travel time; Freeway travel time estimation

Indexed keywords

ESTIMATION; MARKOV PROCESSES; STATISTICAL METHODS; TRAFFIC CONGESTION;

EID: 39849084754     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2007.08.005     Document Type: Article
Times cited : (133)

References (18)
  • 1
    • 85120281911 scopus 로고    scopus 로고
    • Choe, T., Skabardonis, A., Varaiya, P., 2002. Freeway Performance Measurement System (PeMS): an operational analysis tool. In: Transportation Research Board 81st Annual Meeting, Washington DC.
  • 2
    • 85120246707 scopus 로고    scopus 로고
    • Chu, L., 2005. Adaptive Kalman filter based freeway travel time estimation. In: Transportation Research Board 84th Annual Meeting, Washington DC.
  • 3
    • 0141566255 scopus 로고    scopus 로고
    • Improved vehicle reidentification and travel time measurement on congested freeways
    • B. Coifman E. Ergueta Improved vehicle reidentification and travel time measurement on congested freeways Journal of Transportation Engineering 129 5 2003 475 483
    • (2003) Journal of Transportation Engineering , vol.129 , Issue.5 , pp. 475-483
    • Coifman, B.1    Ergueta, E.2
  • 4
    • 0035324678 scopus 로고    scopus 로고
    • Propagation perturbation in dense traffic flow: a model and its implications
    • J.M. Del Castillo Propagation perturbation in dense traffic flow: a model and its implications Transportation Research Part B 35 4 2001 367 389
    • (2001) Transportation Research Part B , vol.35 , Issue.4 , pp. 367-389
    • Del Castillo, J.M.1
  • 6
    • 0035263564 scopus 로고    scopus 로고
    • Determination of the probability of breakdown on a freeway based on zonal merging probabilities
    • J. Evans L. Elefteriadou G. Natarajan Determination of the probability of breakdown on a freeway based on zonal merging probabilities Transportation Research Part B 35 3 2001 237 254
    • (2001) Transportation Research Part B , vol.35 , Issue.3 , pp. 237-254
    • Evans, J.1    Elefteriadou, L.2    Natarajan, G.3
  • 7
    • 0035520435 scopus 로고    scopus 로고
    • A queueing theory model of nonstationary traffic flow
    • D. Heidemann A queueing theory model of nonstationary traffic flow Transportation Science 35 4 2001 405 412
    • (2001) Transportation Science , vol.35 , Issue.4 , pp. 405-412
    • Heidemann, D.1
  • 8
    • 1642349990 scopus 로고    scopus 로고
    • Deriving link travel time distributions via stochastic speed processes
    • J.P. Kharoufeh N. Gautam Deriving link travel time distributions via stochastic speed processes Transportation Science 38 1 2004 97 106
    • (2004) Transportation Science , vol.38 , Issue.1 , pp. 97-106
    • Kharoufeh, J.P.1    Gautam, N.2
  • 9
    • 85120264999 scopus 로고    scopus 로고
    • Lorenz, M., Elefteriadou, L., 2000. A probabilistic approach to defining freeway capacity and breakdown. In: Fourth International Symposium on Highway Capacity, Hawaii.
  • 10
    • 85120285421 scopus 로고    scopus 로고
    • Oh, J., Jayakrishnan, R., Recker, W., 2003. Section travel time estimation from point detection data. In: Transportation Research Board 81st Annual Meeting, Washington DC.
  • 12
    • 0003778293 scopus 로고    scopus 로고
    • Stochastic Processes
    • S. Ross Stochastic Processes second ed. 1996 John Wiley and Sons
    • (1996)
    • Ross, S.1
  • 13
    • 39849096213 scopus 로고    scopus 로고
    • Reliability Measures for Highway Systems and Segments
    • T. Shaw Reliability Measures for Highway Systems and Segments 2002 TRANSYSTEMS Corporation
    • (2002)
    • Shaw, T.1
  • 14
    • 85120265872 scopus 로고    scopus 로고
    • Turner, S.M., 1996. Advanced techniques for travel time data collection. In: Transportation Research Board 75th Annual Meeting, Washington DC.
  • 15
    • 85120283661 scopus 로고    scopus 로고
    • Turner, S., Margiotta, R., Lomax, T., 2004. Lessons learned: monitoring highway congestion and reliability using archived traffic detector data, FHWA-OP-05-003.
  • 16
    • 85120242592 scopus 로고    scopus 로고
    • VanLint, J.W.C., van Zuylen, H.J., 2005. Monitoring and predicting freeway travel time reliability using width and skew of the day-to-day travel time distribution. In: Transportation Research Board 84th Annual Meeting, Washington DC.
  • 17
    • 11144303296 scopus 로고    scopus 로고
    • Travel time versus capacity reliability of a road network
    • H. Yang H.K. Lo W.H. Tang Travel time versus capacity reliability of a road network M.G.H. Bell C. Cassir Reliability of Transport Networks 1999 Research Studies Press Baldock 119 138
    • (1999) , pp. 119-138
    • Yang, H.1    Lo, H.K.2    Tang, W.H.3
  • 18
    • 0042664086 scopus 로고    scopus 로고
    • Short-term travel time prediction
    • X. Zhang J. Rice Short-term travel time prediction Transportation Research Part C 11 3–4 2003 187 210
    • (2003) Transportation Research Part C , vol.11 , Issue.3–4 , pp. 187-210
    • Zhang, X.1    Rice, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.