메뉴 건너뛰기




Volumn , Issue 2243, 2011, Pages 127-137

Real-time freeway-experienced travel time prediction using N-curve and K nearest neighbor methods

Author keywords

[No Author keywords available]

Indexed keywords

MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; TRAFFIC CONTROL;

EID: 84855226756     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2243-15     Document Type: Article
Times cited : (29)

References (26)
  • 1
    • 0033349045 scopus 로고    scopus 로고
    • Travel-time prediction for freeway corridors
    • D'Angelo, M. P., H. M., Al-Deek, and M. C. Wang. Travel Time Prediction for Freeway Corridors. In Transportation Research Record: Journal of the Transportation Research Board, No. 1676, TRB, National Research Council, Washington, D.C., 1999, pp 184-191. (Pubitemid 30565097)
    • (1999) Transportation Research Record , Issue.1676 , pp. 184-191
    • D'Angelo, M.P.1    Al-Deek, H.M.2    Wang, M.C.3
  • 2
    • 2142827160 scopus 로고    scopus 로고
    • Statistical evaluation of interstate 4 traffic prediction system
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Ishak, S., and H. Al-Deek. Statistical Evaluation of Interstate 4 Traffic Prediction System. In Transportation Research Record: Journal of the Transportation Research Board, No. 1856, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 16-24.
    • (2003) Transportation Research Record: Journal of the Transportation Research Board, No. 1856 , pp. 16-24
    • Ishak, S.1    Al-Deek, H.2
  • 3
    • 0034784103 scopus 로고    scopus 로고
    • A simple and effective method for predicting travel times on freeways
    • Presented at, Oakland, Calif., Aug. 25-29
    • Rice, J., and E. van Zwet. A Simple and Effective Method for Predicting Travel Times on Freeways. Presented at IEEE Conference on Intelligent Transportation Systems, Oakland, Calif., Aug. 25-29, 2001.
    • (2001) IEEE Conference on Intelligent Transportation Systems
    • Rice, J.1    Van Zwet, E.2
  • 5
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman, R. E. A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering, Vol. 82, 1960, pp. 35-45.
    • (1960) Journal of Basic Engineering , vol.82 , pp. 35-45
    • Kalman, R.E.1
  • 7
    • 11144262651 scopus 로고    scopus 로고
    • Real-time freeway traffic state estimation based on extended Kalman filter: A general approach
    • DOI 10.1016/j.trb.2004.03.003, PII S0191261504000438
    • Transportation Research Record 2243 7. Wang, Y., and M. Papageorgiou. Real-Time Freeway Traffic State Estimation Based on Extended Kalman Filter: A General Approach. Transportation Research Part B, Vol. 39, No. 2, 2005, pp. 141-167. (Pubitemid 40032216)
    • (2005) Transportation Research Part B: Methodological , vol.39 , Issue.2 , pp. 141-167
    • Wang, Y.1    Papageorgiou, M.2
  • 8
    • 33748429561 scopus 로고    scopus 로고
    • RENAISSANCE - A unified macroscopic model-based approach to real-time freeway network traffic surveillance
    • DOI 10.1016/j.trc.2006.06.001, PII S0968090X06000398
    • Wang, Y., M. Papageorgiou, and A. Messmer. RENAISSANCE-A Unified Macroscopic Model-Based Approach to Real-Time Freeway Network Traffic Surveillance. Transportation Research Part C, Vol. 14, No. 3, 2006, pp. 190-212. (Pubitemid 44340916)
    • (2006) Transportation Research Part C: Emerging Technologies , vol.14 , Issue.3 , pp. 190-212
    • Wang, Y.1    Papageorgiou, M.2    Messmer, A.3
  • 9
    • 0035724797 scopus 로고    scopus 로고
    • Dynamic freeway travel-time prediction with probe vehicle data: Link based versus path based
    • 01-2887
    • Chen, M., and S. I. J. Chien. Dynamic Freeway Travel Time Prediction Using Probe Vehicle Data: Link Based Versus Path Based. In Transportation Research Record: Journal of the Transportation Research Board, No. 1768, TRB, National Research Council, Washington, D.C., 2001, pp. 157-161. (Pubitemid 34254756)
    • (2001) Transportation Research Record , Issue.1768 , pp. 157-161
    • Chen, M.1    Chien, S.I.J.2
  • 10
    • 0034779489 scopus 로고    scopus 로고
    • A Gaussian maximum likelihood formulation for short-term forecasting of traffic flow
    • Lin, W.-H. A Gaussian Maximum Likelihood Formulation for Short- Term Forecasting of Traffic Flow. Proc. 2001 IEEE Intelligent Transportation Systems Conference, Oakland, Calif., Aug. 25-29, 2001, pp. 150-155. (Pubitemid 32936330)
    • (2001) IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC , pp. 150-155
    • Lin, W.-H.1
  • 11
    • 42149185007 scopus 로고    scopus 로고
    • Integrated traffic simulation-statistical analysis framework for online prediction of freeway travel time
    • DOI 10.3141/2039-03, Network Modeling 2007
    • Ruiz Juri, N., A. Unnikrishnan, and S. T. Waller. Integrated Traffic Simulation-Statistical Analysis Framework for Online Prediction of Freeway Travel Time. In Transportation Research Record: Journal of the Transportation Research Board, No. 2039, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 24-31. (Pubitemid 351532628)
    • (2007) Transportation Research Record , Issue.2039 , pp. 24-31
    • Juri, N.R.1    Unnikrishnan, A.2    Waller, S.T.3
  • 12
    • 85173198773 scopus 로고    scopus 로고
    • High performance microscopic simulation for traffic forecasting
    • Duncan, G., and J. K. Littlejohn. High Performance Microscopic Simulation for Traffic Forecasting. IET Seminar Digests, Vol. 55, 1997, p. 4.
    • (1997) IET Seminar Digests , vol.55 , pp. 4
    • Duncan, G.1    Littlejohn, J.K.2
  • 14
    • 0347526141 scopus 로고    scopus 로고
    • Neural network model for rapid forecasting of freeway link travel time
    • Dharia, A., and H. Adeli. Neural Network Model for Rapid Forecasting of Freeway Link Travel Time. Engineering Applications of Artificial Intelligence, Vol. 16, No. 7-8, 2003, pp. 607-613.
    • (2003) Engineering Applications of Artificial Intelligence , vol.16 , Issue.7-8 , pp. 607-613
    • Dharia, A.1    Adeli, H.2
  • 15
    • 33751077286 scopus 로고    scopus 로고
    • Reliable real-time framework for short-term freeway travel time prediction
    • Van Lint, J. W. C. Reliable Real-Time Framework for Short-Term Freeway Travel Time Prediction. ASCE Journal of Transportation Engineering, Vol. 132, No. 12, 2006, pp. 921-932.
    • (2006) ASCE Journal of Transportation Engineering , vol.132 , Issue.12 , pp. 921-932
    • Van Lint, J.W.C.1
  • 16
    • 76149118802 scopus 로고    scopus 로고
    • Application of advanced traffic information systems: Field test of a travel time prediction system with widely spaced detectors
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Zou, N., J. Wang, G.-L. Chang, and J. Paracha. Application of Advanced Traffic Information Systems: Field Test of a Travel Time Prediction System with Widely Spaced Detectors. In Transportation Research Record: Journal of the Transportation Research Board, No. 2129, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 62-72.
    • (2009) Transportation Research Record: Journal of the Transportation Research Board, No. 2129 , pp. 62-72
    • Zou, N.1    Wang, J.2    Chang, G.-L.3    Paracha, J.4
  • 18
  • 20
    • 35448986841 scopus 로고    scopus 로고
    • Travel time estimation for urban freeway performance measurement: Understanding and improving upon extrapolation method
    • Presented at, Washington, D.C.
    • Smith, B. L., R. B. Holt, and B. B. Park. Travel Time Estimation for Urban Freeway Performance Measurement: Understanding and Improving Upon Extrapolation Method. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
    • (2004) 83rd Annual Meeting of the Transportation Research Board
    • Smith, B.L.1    Holt, R.B.2    Park, B.B.3
  • 21
    • 16244411240 scopus 로고
    • A simplified theory of kinematic waves in highway traffic part I: General theory
    • Newell, G. F. A Simplified Theory of Kinematic Waves in Highway Traffic, Part I: General Theory. Transportation Research Part B, Vol. 27, No. 4, 1993, pp. 281-287.
    • (1993) Transportation Research Part B , vol.27 , Issue.4 , pp. 281-287
    • Newell, G.F.1
  • 22
    • 3743087515 scopus 로고    scopus 로고
    • Using input-output diagram to determine spatial and temporal extents of a queue upstream of a bottleneck
    • Lawson, T. W., D. J. Lovell, and C. F. Daganzo. Using Input-Output Diagram to Determine Spatial and Temporal Extents of a Queue Upstream of a Bottleneck. In Transportation Research Record 1572, TRB, National Research Council, Washington, D.C., 1997, pp. 140-147. (Pubitemid 127574828)
    • (1997) Transportation Research Record , Issue.1572 , pp. 140-147
    • Lawson, T.W.1    Lovell, D.J.2    Daganzo, C.F.3
  • 24
    • 85173196161 scopus 로고    scopus 로고
    • Urban travel time estimation by incorporating system recognition into k-nearest-neighbor method
    • Presented at, Washington, D.C.
    • Zhang, K., and H. Liu. Urban Travel Time Estimation by Incorporating System Recognition into k-Nearest-Neighbor Method. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
    • (2007) 86th Annual Meeting of the Transportation Research Board
    • Zhang, K.1    Liu, H.2
  • 25
    • 85173204143 scopus 로고    scopus 로고
    • Google Maps. Palo Alto Calif 2008
    • Google Maps. Palo Alto, Calif. 2008. http://maps.google.com/.
  • 26
    • 85173195563 scopus 로고    scopus 로고
    • Dynamic Urban Systems in Transportation DynusT v2.0 Beta (with NEXTA). DynusT, Tucson, Ariz., 2008.
    • Chiu, Y.-C., E. J. Nava, and M. Munden. Dynamic Urban Systems in Transportation DynusT v2.0 Beta (with NEXTA). DynusT, Tucson, Ariz., 2008.
    • Chiu, Y.-C.1    Nava, E.J.2    Munden, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.