메뉴 건너뛰기




Volumn 42, Issue , 2014, Pages 82-98

Dynamic travel time prediction using data clustering and genetic programming

Author keywords

Clustering; Genetic programming; Probe data; Sampling with replacement; Travel time prediction

Indexed keywords

ALGEBRA; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; ERRORS; FORECASTING; GENETIC ALGORITHMS; STATISTICAL METHODS; TIME VARYING CONTROL SYSTEMS; TRAVEL TIME;

EID: 84897097967     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.02.016     Document Type: Article
Times cited : (61)

References (33)
  • 1
    • 0028563745 scopus 로고
    • Genetic algorithm guided clustering. In: Evolutionary Computation, 1994. Proceedings of the First IEEE Conference on IEEE World Congress on Computational Intelligence, 27-29 June 1994
    • Bezdek, J.C., Boggavarapu, S., Hall, L.O., Bensaid, A., 1994. Genetic algorithm guided clustering. In: Evolutionary Computation, 1994. Proceedings of the First IEEE Conference on IEEE World Congress on Computational Intelligence, 27-29 June 1994, vol. 1, pp. 34-39.
    • (1994) , vol.1 , pp. 34-39
    • Bezdek, J.C.1    Boggavarapu, S.2    Hall, L.O.3    Bensaid, A.4
  • 2
    • 84855226756 scopus 로고    scopus 로고
    • Real-time freeway-experienced travel time prediction using N-curve and k nearest neighbor methods
    • Bustillos B.I., Chiu Y.-C. Real-time freeway-experienced travel time prediction using N-curve and k nearest neighbor methods. Transport. Res. Rec.: J. Transport. Res. Board 2011, 2243:127-137.
    • (2011) Transport. Res. Rec.: J. Transport. Res. Board , vol.2243 , pp. 127-137
    • Bustillos, B.I.1    Chiu, Y.-C.2
  • 3
    • 83755163810 scopus 로고    scopus 로고
    • Real-time freeway traffic state prediction: a particle filter approach
    • In: 14th International IEEE Conference on Intelligent Transportation Systems, 2011 Washington, DC, USA
    • Chen, H., Rakha, H.A., Sadek, S.A., 2011. Real-time freeway traffic state prediction: a particle filter approach. In: 14th International IEEE Conference on Intelligent Transportation Systems, 2011 Washington, DC, USA, pp. 626-631.
    • (2011) , pp. 626-631
    • Chen, H.1    Rakha, H.A.2    Sadek, S.A.3
  • 4
    • 84897085049 scopus 로고    scopus 로고
    • A particle filter approach for real-time freeway traffic state prediction
    • In: 91st Transportation Research Board Annual Meeting, 2012 Washington, DC.
    • Chen, H., Rakha, H.A., Sadek, S.A., Katz, B.J., 2012. A particle filter approach for real-time freeway traffic state prediction. In: 91st Transportation Research Board Annual Meeting, 2012 Washington, DC.
    • (2012)
    • Chen, H.1    Rakha, H.A.2    Sadek, S.A.3    Katz, B.J.4
  • 5
    • 0035724797 scopus 로고    scopus 로고
    • Dynamic freeway travel-time prediction with probe vehicle data: link based versus path based
    • Chen M., Chien S.I.J. Dynamic freeway travel-time prediction with probe vehicle data: link based versus path based. Transport. Res. Rec.: J. Transport. Res. Board 2001, 1768:157-161.
    • (2001) Transport. Res. Rec.: J. Transport. Res. Board , vol.1768 , pp. 157-161
    • Chen, M.1    Chien, S.I.J.2
  • 6
    • 80855130320 scopus 로고    scopus 로고
    • An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks
    • Du L., Peeta S., Kim Y.H. An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks. Transport. Res. Part B: Methodol. 2012, 46:235-252.
    • (2012) Transport. Res. Part B: Methodol. , vol.46 , pp. 235-252
    • Du, L.1    Peeta, S.2    Kim, Y.H.3
  • 7
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: the .632+ bootstrap method
    • Efron B., Tibshirani R. Improvements on cross-validation: the .632+ bootstrap method. J. Am. Stat. Assoc. 1997, 92:548-560.
    • (1997) J. Am. Stat. Assoc. , vol.92 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2
  • 8
    • 80052718938 scopus 로고    scopus 로고
    • A Bayesian dynamic linear model approach for real time short-term freeway travel time prediction
    • Fei X., Lu C.-C., Liu K. A Bayesian dynamic linear model approach for real time short-term freeway travel time prediction. Transport. Res. Part C: Emerg. Technol. 2011, 19:1306-1318.
    • (2011) Transport. Res. Part C: Emerg. Technol. , vol.19 , pp. 1306-1318
    • Fei, X.1    Lu, C.-C.2    Liu, K.3
  • 10
    • 85029836963 scopus 로고    scopus 로고
    • INRIX. Traffic Information.
    • INRIX, 2012. Traffic Information. http://www.inrix.com/trafficinformation.asp.
    • (2012)
  • 11
    • 57649243344 scopus 로고    scopus 로고
    • Rutting prediction model developed by genetic programming method through full scale accelerated pavement testing. In: Fourth International Conference on Natural Computation, 2008. ICNC '08. 18-20 October 2008
    • Jia-Ruey, C., Shun-Hsing, C., Dar-Hao, C., Yao-Bin, L., 2008. Rutting prediction model developed by genetic programming method through full scale accelerated pavement testing. In: Fourth International Conference on Natural Computation, 2008. ICNC '08. 18-20 October 2008, pp. 326-330.
    • (2008) , pp. 326-330
    • Jia-Ruey, C.1    Shun-Hsing, C.2    Dar-Hao, C.3    Yao-Bin, L.4
  • 13
    • 44849085755 scopus 로고    scopus 로고
    • Genetic programming: an introduction and tutorial, with a survey of techniques and applications
    • Springer, Berlin Heidelberg, J. Fulcher, L.C. Jain (Eds.)
    • Langdon W., Poli R., Mcphee N., Koza J. Genetic programming: an introduction and tutorial, with a survey of techniques and applications. Computational Intelligence: A Compendium 2008, Springer, Berlin Heidelberg. J. Fulcher, L.C. Jain (Eds.).
    • (2008) Computational Intelligence: A Compendium
    • Langdon, W.1    Poli, R.2    Mcphee, N.3    Koza, J.4
  • 14
  • 15
    • 85016059351 scopus 로고
    • Application of genetic programming to control of vehicle systems. In: Proceedings of the Intelligent Vehicles '92 Symposium, 29 June-1 July 1992
    • Marko, K.A., Hampo, R.J., 1992. Application of genetic programming to control of vehicle systems. In: Proceedings of the Intelligent Vehicles '92 Symposium, 29 June-1 July 1992, pp. 191-195.
    • (1992) , pp. 191-195
    • Marko, K.A.1    Hampo, R.J.2
  • 16
    • 84897048892 scopus 로고    scopus 로고
    • Trade-offs between inductive loops and GPS vehicles for travel time estimation: a mobile century case study. In: Transportation Research Board 91st Annual Meeting, Washington, DC.
    • Mazare, P.-E., Tossavainen, O.-P., Bayen, A., Work, D., 2012. Trade-offs between inductive loops and GPS vehicles for travel time estimation: a mobile century case study. In: Transportation Research Board 91st Annual Meeting, Washington, DC.
    • (2012)
    • Mazare, P.-E.1    Tossavainen, O.-P.2    Bayen, A.3    Work, D.4
  • 17
    • 84863041488 scopus 로고    scopus 로고
    • Travel time prediction using k nearest neighbor method with combined data from vehicle detector system and automatic toll collection system
    • Myung J., Kim D.-K., Seung-Young Kho, Park C.-H. Travel time prediction using k nearest neighbor method with combined data from vehicle detector system and automatic toll collection system. Transport. Res. Rec.: J. Transport. Res. Board 2011, 2256:51-59.
    • (2011) Transport. Res. Rec.: J. Transport. Res. Board , vol.2256 , pp. 51-59
    • Myung, J.1    Kim, D.-K.2    Seung-Young, K.3    Park, C.-H.4
  • 18
    • 1942473008 scopus 로고    scopus 로고
    • Application of probe-vehicle data for real-time traffic-state estimation and short-term travel-time prediction on a freeway
    • Nanthawichit C., Nakatsuji T., Suzuki H. Application of probe-vehicle data for real-time traffic-state estimation and short-term travel-time prediction on a freeway. Transp. Res. Rec. 2003, 49-59.
    • (2003) Transp. Res. Rec. , pp. 49-59
    • Nanthawichit, C.1    Nakatsuji, T.2    Suzuki, H.3
  • 19
    • 53749085358 scopus 로고    scopus 로고
    • An autonomous GP-based system for regression and classification problems
    • Oltean M., Dioşan L. An autonomous GP-based system for regression and classification problems. Appl. Soft Comput. 2009, 9:49-60.
    • (2009) Appl. Soft Comput. , vol.9 , pp. 49-60
    • Oltean, M.1    Dioşan, L.2
  • 20
    • 84897038287 scopus 로고    scopus 로고
    • Short term travel time prediction considering the weather impact. In: The Transportation Research Board 91st Annual Meeting.
    • Qiao, W., Haghani, A., Hamedi, M., 2012. Short term travel time prediction considering the weather impact. In: The Transportation Research Board 91st Annual Meeting.
    • (2012)
    • Qiao, W.1    Haghani, A.2    Hamedi, M.3
  • 21
    • 84897067749 scopus 로고    scopus 로고
    • Assessment of Data Quality Needs for Use in Transportation Applications.
    • Rakha, H., Chen, H., Haghani, A., Sadabadi, K.F., 2013. Assessment of Data Quality Needs for Use in Transportation Applications.
    • (2013)
    • Rakha, H.1    Chen, H.2    Haghani, A.3    Sadabadi, K.F.4
  • 22
    • 84897103534 scopus 로고    scopus 로고
    • 2012 Urban Mobility Report. Texas Transportation Institute.
    • Schrank, D., Eisele, B., Lomax, T., 2012. 2012 Urban Mobility Report. Texas Transportation Institute.
    • (2012)
    • Schrank, D.1    Eisele, B.2    Lomax, T.3
  • 23
    • 85029850308 scopus 로고    scopus 로고
    • Genetic Programming & Symbolic Regression for Matlab.
    • Searson, D., 2009. Genetic Programming & Symbolic Regression for Matlab. http://gptips.sourceforge.net.
    • (2009)
    • Searson, D.1
  • 24
    • 84897069230 scopus 로고    scopus 로고
    • INRIX Data Services - Arterial System Performance Assessment and Management.
    • Trepanier, T., 2013. INRIX Data Services - Arterial System Performance Assessment and Management.
    • (2013)
    • Trepanier, T.1
  • 26
    • 47849099540 scopus 로고    scopus 로고
    • Support vector machine technique for the short term prediction of travel time. In: IEEE Intelligent Vehicles Symposium, Turkey.
    • Vanajakshi, L., Rilett, L.R., 2007. Support vector machine technique for the short term prediction of travel time. In: IEEE Intelligent Vehicles Symposium, Turkey.
    • (2007)
    • Vanajakshi, L.1    Rilett, L.R.2
  • 27
    • 4444369422 scopus 로고    scopus 로고
    • Short-term traffic forecasting: overview of objectives and methods
    • Vlahogianni E.I., Golias J.C., Karlaftis M.G. Short-term traffic forecasting: overview of objectives and methods. Transp. Rev. 2004, 24:533-557.
    • (2004) Transp. Rev. , vol.24 , pp. 533-557
    • Vlahogianni, E.I.1    Golias, J.C.2    Karlaftis, M.G.3
  • 29
    • 84897103760 scopus 로고    scopus 로고
    • Freeway corridor travel time prediction using single inductive loop detector data
    • In: Transportation Research Board 88th Annual Meeting. Washington, DC.
    • Xia, J., Chen, M., 2009. Freeway corridor travel time prediction using single inductive loop detector data. In: Transportation Research Board 88th Annual Meeting. Washington, DC.
    • (2009)
    • Xia, J.1    Chen, M.2
  • 30
    • 79957488759 scopus 로고    scopus 로고
    • A multistep corridor travel-time prediction method using presence-type vehicle detector data
    • Xia J., Chen M., Huang W. A multistep corridor travel-time prediction method using presence-type vehicle detector data. J. Intell. Transport. Syst.: Technol. Plann Oper. 2011, 15:104-113.
    • (2011) J. Intell. Transport. Syst.: Technol. Plann Oper. , vol.15 , pp. 104-113
    • Xia, J.1    Chen, M.2    Huang, W.3
  • 31
    • 84878679947 scopus 로고    scopus 로고
    • A genetic programming model for real-time crash prediction on freeways
    • Xu C., Wang W., Liu P. A genetic programming model for real-time crash prediction on freeways. IEEE Trans. Intell. Transp. Syst. 2013, 14:574-586.
    • (2013) IEEE Trans. Intell. Transp. Syst. , vol.14 , pp. 574-586
    • Xu, C.1    Wang, W.2    Liu, P.3
  • 32
    • 23944509104 scopus 로고    scopus 로고
    • Travel time prediction using the GPS test vehicle and Kalman filtering techniques
    • In: Proceedings of the 2005 American Control Conference
    • Yang, J.-S., 2005. Travel time prediction using the GPS test vehicle and Kalman filtering techniques. In: Proceedings of the 2005 American Control Conference, pp. 2128-2133.
    • (2005) , pp. 2128-2133
    • Yang, J.-S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.