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Volumn 31, Issue 1, 2009, Pages 69-80

A dynamic holding strategy in public transit systems with real-time information

Author keywords

Dynamic holding strategy; Forecasting; Genetic algorithm; SVM

Indexed keywords

DEPARTURE TIME; HOLDING TIME; INPUT VARIABLES; MICROSCOPIC SIMULATION MODELS; MODEL-BASED; OPERATION CONTROL; PARAMICS; PUBLIC TRANSIT SYSTEMS; REAL-TIME INFORMATION; SVM; TRANSIT SYSTEMS; USER COST;

EID: 68149172908     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-007-0112-9     Document Type: Article
Times cited : (54)

References (38)
  • 2
    • 33747384609 scopus 로고    scopus 로고
    • A model for holding strategy in public transit systems with real-time information
    • S Zolfaghari N Azizi MY Jaber 2004 A model for holding strategy in public transit systems with real-time information Int J Transp Manag 2 99 110
    • (2004) Int J Transp Manag , vol.2 , pp. 99-110
    • Zolfaghari, S.1    Azizi, N.2    Jaber, M.Y.3
  • 3
    • 0035250761 scopus 로고    scopus 로고
    • Monitoring and control of anytime algorithms: A dynamic programming approach
    • DOI 10.1016/S0004-3702(00)00068-0
    • EA Hansen S Zilberstein 2001 Monitoring and control of anytime algorithms: A dynamic programming approach Artif Intell 126 1,2 139 157 (Pubitemid 32196234)
    • (2001) Artificial Intelligence , vol.126 , Issue.1-2 , pp. 139-157
    • Hansen, E.A.1    Zilberstein, S.2
  • 4
    • 0030122886 scopus 로고    scopus 로고
    • Optimal composition of real-time systems
    • S Zilberstein S Russell 1996 Optimal composition of real-time systems Artif Intell 82 1,2 181 213 (Pubitemid 126374152)
    • (1996) Artificial Intelligence , vol.82 , Issue.1-2 , pp. 181-213
    • Zilberstein, S.1    Russell, S.2
  • 6
    • 0015299607 scopus 로고
    • Control strategies for an idealized public transportation system
    • EE Osuna GG Newell 1972 Control strategies for an idealized public transportation system Transp Sci 6 52 72
    • (1972) Transp Sci , vol.6 , pp. 52-72
    • Osuna, E.E.1    Newell, G.G.2
  • 10
    • 0003477684 scopus 로고
    • Adaptive control of transit operations
    • University of Maryland
    • Lin G et al (1995) Adaptive control of transit operations. Final report for project MD-26-7002. University of Maryland
    • (1995) Final Report for Project MD-26-7002
    • Lin, G.1    Al, E.2
  • 12
    • 0016059591 scopus 로고
    • On controlling randomness in transit operations
    • AI Barnett 1974 On controlling randomness in transit operations Transp Sci 8 2 101 116
    • (1974) Transp Sci , vol.8 , Issue.2 , pp. 101-116
    • Barnett, A.I.1
  • 13
    • 0017922869 scopus 로고
    • SIMULATION STUDY OF ALTERNATIVE REAL-TIME BUS HEADWAY CONTROL STRATEGIES.
    • D Koffman 1978 A simulation study of alternative real-time bus headway control strategies Transp Res Rec 663 41 46 (Pubitemid 8619712)
    • (1978) Transportation Research Record , Issue.663 , pp. 41-46
    • Koffman David1
  • 14
    • 2142767401 scopus 로고    scopus 로고
    • Real-time optimization model for dynamic scheduling of transit operations
    • Fu LP, Liu Q, Calamai P (2003) Real-time optimization model for dynamic scheduling of transit operations. Transp Res Rec 1857
    • (2003) Transp Res Rec , vol.1857
    • Fu, L.P.1    Liu, Q.2    Calamai, P.3
  • 17
    • 0036719106 scopus 로고    scopus 로고
    • Dynamic bus arrival time prediction with artificial neural networks
    • DOI 10.1061/(ASCE)0733-947X(2002)128:5(429)
    • IJ Chien Y Ding C Wei 2002 Dynamic bus arrival time prediction with artificial neural networks J Transp Eng, ASCE 128 5 429 438 (Pubitemid 35016369)
    • (2002) Journal of Transportation Engineering , vol.128 , Issue.5 , pp. 429-438
    • Chien, S.I.-J.1    Ding, Y.2    Wei, C.3
  • 19
    • 84956628443 scopus 로고    scopus 로고
    • Predicting time series with support vector machines
    • Springer London
    • Müller KR et al. (1997) Predicting time series with support vector machines. In: Lecture notes in computer science, vol 1327. Springer, London, pp 999-1004
    • (1997) Lecture Notes in Computer Science 1327 , pp. 999-1004
    • Müller, K.R.1
  • 24
    • 10644266188 scopus 로고    scopus 로고
    • Travel-time prediction with support vector regression
    • CH Wu JM Ho DT Lee 2004 Travel-time prediction with support vector regression IEEE Trans Intell Transp Syst 5 4 276 281
    • (2004) IEEE Trans Intell Transp Syst , vol.5 , Issue.4 , pp. 276-281
    • Wu, C.H.1    Ho, J.M.2    Lee, D.T.3
  • 26
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • VN Vapnik 1999 An overview of statistical learning theory IEEE Trans Neural Netw 10 5 988 999
    • (1999) IEEE Trans Neural Netw , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 27
    • 0035533512 scopus 로고    scopus 로고
    • Financial forecasting using support vector machines
    • LJ Cao FEH Tay 2001 Financial forecasting using support vector machines Neural Comput Appl 10 184 192
    • (2001) Neural Comput Appl , vol.10 , pp. 184-192
    • Cao, L.J.1    Tay, F.E.H.2
  • 28
    • 13544267299 scopus 로고    scopus 로고
    • Improved financial time series forecasting by combining support vector machines with self-organizing feature map
    • FEH Tay LJ Cao 2001 Improved financial time series forecasting by combining support vector machines with self-organizing feature map Intell Data Anal 5 1 16
    • (2001) Intell Data Anal , vol.5 , pp. 1-16
    • Tay, F.E.H.1    Cao, L.J.2
  • 29
    • 0742268991 scopus 로고    scopus 로고
    • Support vector machine with adaptive parameters in financial time series forecasting
    • Cao LJ, Tay FEH (2003) Support vector machine with adaptive parameters in financial time series forecasting. IEEE Trans Neural Netw 14(6)
    • (2003) IEEE Trans Neural Netw , vol.14 , Issue.6
    • Cao, L.J.1    Tay, F.E.H.2
  • 30
    • 13244270060 scopus 로고    scopus 로고
    • Applying support vector machines to predict building energy consumption in tropical region
    • DOI 10.1016/j.enbuild.2004.09.009, PII S0378778804002981
    • B Dong C Cao SE Lee 2005 Applying support vector machines to predict building energy consumption in tropical region Energy Build 37 545 553 (Pubitemid 40183476)
    • (2005) Energy and Buildings , vol.37 , Issue.5 , pp. 545-553
    • Dong, B.1    Cao, C.2    Lee, S.E.3
  • 31
    • 33750593957 scopus 로고    scopus 로고
    • Bus arrival time prediction using support vector machines
    • B Yu ZZ Yang BZ Yao 2006 Bus arrival time prediction using support vector machines J Intell Transp Syst 10 4 151 158
    • (2006) J Intell Transp Syst , vol.10 , Issue.4 , pp. 151-158
    • Yu, B.1    Yang, Z.Z.2    Yao, B.Z.3
  • 33
    • 0037334662 scopus 로고    scopus 로고
    • Transit route network design using frequency coded genetic algorithm
    • DOI 10.1061/(ASCE)0733-947X(2003)129:2(186)
    • VM Tom S Mohan 2003 Transit route network design using frequency coded genetic algorithm J Transp Eng 129 2 186 195 (Pubitemid 36300161)
    • (2003) Journal of Transportation Engineering , vol.129 , Issue.2 , pp. 186-195
    • Tom, V.M.1    Mohan, S.2
  • 35
    • 33751423564 scopus 로고    scopus 로고
    • Optimizing the distribution of shopping centers with parallel genetic algorithm
    • DOI 10.1016/j.engappai.2006.06.015, PII S0952197606001102
    • B Yu Z Yang C Cheng 2007 Optimizing the distribution of shopping centers with parallel genetic algorithm Eng Appl Artif Intell 20 2 215 223 (Pubitemid 44821777)
    • (2007) Engineering Applications of Artificial Intelligence , vol.20 , Issue.2 , pp. 215-223
    • Yu, B.1    Yang, Z.2    Cheng, C.3
  • 36
    • 0003891514 scopus 로고    scopus 로고
    • Simulation of ITS on the Irvine FOT area using the 'Paramics 1.5' scalable microscopic traffic simulator: Phase I: Model calibration and validation
    • Abdulhai B, Sheu JB, Recker WW (1999) Simulation of ITS on the Irvine FOT area using the 'Paramics 1.5' scalable microscopic traffic simulator: Phase I: Model calibration and validation. In: California PATH research report UCB-ITS-PRR-99-12, vol 12, pp 1055-1425
    • (1999) California PATH Research Report UCB-ITS-PRR-99-12 , vol.12 , pp. 1055-1425
    • Abdulhai, B.1    Sheu, J.B.2    Recker, W.W.3
  • 37
    • 1842760507 scopus 로고    scopus 로고
    • Stochastic modeling and real-time prediction of incident effects on surface street traffic congestion
    • DOI 10.1016/j.apm.2003.10.004, PII S0307904X03002087
    • JB Sheu YH Chou A Chen 2004 Stochastic modeling and real-time prediction of incident effects on surface street traffic congestion Appl Math Model 28 445 468 (Pubitemid 38484664)
    • (2004) Applied Mathematical Modelling , vol.28 , Issue.5 , pp. 445-468
    • Sheu, J.-B.1    Chou, Y.-H.2    Chen, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.