메뉴 건너뛰기




Volumn , Issue 2121, 2009, Pages 41-54

Estimation of travel time on urban networks with midlink sources and sinks

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PROBES; TRAFFIC CONTROL;

EID: 76149103932     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2121-05     Document Type: Article
Times cited : (27)

References (21)
  • 1
    • 0041998992 scopus 로고
    • Journey speed and flow in central urban areas
    • Wardrop, J. G. Journey Speed and Flow in Central Urban Areas. Traffic Engineering and Control, Vol.9, 1968, pp. 528-532.
    • (1968) Traffic Engineering and Control , vol.9 , pp. 528-532
    • Wardrop, J.G.1
  • 2
    • 0023979055 scopus 로고
    • A relationship between vehicle detector occupancy and delay at signal-controlled junctions
    • Young, C. P. A Relationship Between Vehicle Detector Occupancy and Delay at Signal-Controlled Junctions. Traffic Engineering and Control, Vol.29, 1988, pp. 131-134.
    • (1988) Traffic Engineering and Control , vol.29 , pp. 131-134
    • Young, C.P.1
  • 3
    • 0028737853 scopus 로고
    • Toward the use of detector output for arterial link travel time estimation: A literature review
    • TRB, National Research Council, Washington, D.C.
    • Sisiopiku, V. P., and N. M. Rouphail. Toward the Use of Detector Output for Arterial Link Travel Time Estimation: A Literature Review. In Transportation Research Record 1457, TRB, National Research Council, Washington, D.C., 1994, pp. 158-165.
    • (1994) Transportation Research Record 1457 , pp. 158-165
    • Sisiopiku, V.P.1    Rouphail, N.M.2
  • 4
    • 0028747463 scopus 로고
    • Analysis of correlation between arterial travel time and detector data from simulation and field studies
    • TRB, National Research Council, Washington, D.C.
    • Sisiopiku, V. P., N. M. Rouphail, and A. Santiago. Analysis of Correlation Between Arterial Travel Time and Detector Data from Simulation and Field Studies. In Transportation Research Record 1457, TRB, National Research Council, Washington, D.C., 1994, pp. 166-173.
    • (1994) Transportation Research Record 1457 , pp. 166-173
    • Sisiopiku, V.P.1    Rouphail, N.M.2    Santiago, A.3
  • 6
    • 0032625621 scopus 로고    scopus 로고
    • Automatic measurement of traffic variables for intelligent transportation systems applications
    • Nam, D. H., and D. R. Drew. Automatic Measurement of Traffic Variables for Intelligent Transportation Systems Applications. Transportation Research Part B: Methodological, Vol.33, No.6, 1999, pp. 437-457.
    • (1999) Transportation Research Part B: Methodological , vol.33 , Issue.6 , pp. 437-457
    • Nam, D.H.1    Drew, D.R.2
  • 7
    • 0033804871 scopus 로고    scopus 로고
    • Development and evaluation of a hybrid travel time forecasting model
    • You, J., and T. J. Kim. Development and Evaluation of a Hybrid Travel Time Forecasting Model. Transportation Research Part C: Emerging Technologies, Vol.8, No.1, 2000, pp. 231-256.
    • (2000) Transportation Research Part C: Emerging Technologies , vol.8 , Issue.1 , pp. 231-256
    • You, J.1    Kim, T.J.2
  • 9
    • 33646405461 scopus 로고    scopus 로고
    • Modeling urban link travel time with inductive loop detector data by using the K-NN method
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Robinson, S., and J. W. Polak. Modeling Urban Link Travel Time with Inductive Loop Detector Data by Using the k-NN Method. In Transportation Research Record: Journal of the Transportation Research Board, No.1935, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 47-56.
    • (2005) Transportation Research Record: Journal of the Transportation Research Board, No. 1935 , pp. 47-56
    • Robinson, S.1    Polak, J.W.2
  • 10
    • 0001947274 scopus 로고
    • Travel-time estimation using cross-correlation techniques
    • Dailey, D. J. Travel-Time Estimation Using Cross-Correlation Techniques. Transportation Research Part B: Methodological, Vol.27, No.2, 1993, pp. 97-107.
    • (1993) Transportation Research Part B: Methodological , vol.27 , Issue.2 , pp. 97-107
    • Dailey, D.J.1
  • 11
    • 34250028124 scopus 로고    scopus 로고
    • Vehicle reidentification and travel time measurement across freeway junctions using the existing detector infrastructure
    • Coifman, B., and S. Krishnamurthy. Vehicle Reidentification and Travel Time Measurement Across Freeway Junctions Using the Existing Detector Infrastructure. Transportation Research Part C: Emerging Technologies, Vol.15, No.3, 2007, pp. 135-153.
    • (2007) Transportation Research Part C: Emerging Technologies , vol.15 , Issue.3 , pp. 135-153
    • Coifman, B.1    Krishnamurthy, S.2
  • 12
    • 0032155636 scopus 로고    scopus 로고
    • Forecasting multiple-period freeway link travel times using modular neural networks
    • TRB, National Research Council, Washington, D.C.
    • Park, D., and L. R. Rilett. Forecasting Multiple-Period Freeway Link Travel Times Using Modular Neural Networks. In Transportation Research Record: Journal of the Transportation Research Board, No.1617, TRB, National Research Council, Washington, D.C., 1998, pp. 163-170.
    • (1998) Transportation Research Record: Journal of the Transportation Research Board, No. 1617 , pp. 163-170
    • Park, D.1    Rilett, L.R.2
  • 13
    • 0035567818 scopus 로고    scopus 로고
    • A study of hybrid neural network approaches and the effects of missing data on traffic forecasting
    • Chen, H., S. Grant-Muller, L. Mussone, and F. Montgomery. A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting. Neural Computing and Applications, Vol.10, 2001, pp. 277-286.
    • (2001) Neural Computing and Applications , vol.10 , pp. 277-286
    • Chen, H.1    Grant-Muller, S.2    Mussone, L.3    Montgomery, F.4
  • 15
    • 0036694167 scopus 로고    scopus 로고
    • Reducing bias in probe-based arterial link travel time estimates
    • Hellinga, B. R., and L. Fu. Reducing Bias in Probe-Based Arterial Link Travel Time Estimates. Transportation Research Part C: Emerging Technologies, Vol.10, No.4, 2002, pp. 257-273.
    • (2002) Transportation Research Part C: Emerging Technologies , vol.10 , Issue.4 , pp. 257-273
    • Hellinga, B.R.1    Fu, L.2
  • 16
    • 0030287291 scopus 로고    scopus 로고
    • Determination of number of probe vehicles required for reliable travel time measurement in urban network
    • TRB, National Research Council, Washington, D.C.
    • Srinivasan, K. K., and P. P. Jovanis. Determination of Number of Probe Vehicles Required for Reliable Travel Time Measurement in Urban Network. In Transportation Research Record 1537, TRB, National Research Council, Washington, D.C., 1996, pp. 15-22.
    • (1996) Transportation Research Record 1537 , pp. 15-22
    • Srinivasan, K.K.1    Jovanis, P.P.2
  • 19
    • 33745949678 scopus 로고    scopus 로고
    • A data fusion algorithm for estimating link travel time
    • Choi, K., and Y. Chung. A Data Fusion Algorithm for Estimating Link Travel Time. Journal of Intelligent Transportation Systems, Vol.7, 2002, pp. 235-260.
    • (2002) Journal of Intelligent Transportation Systems , vol.7 , pp. 235-260
    • Choi, K.1    Chung, Y.2
  • 20
    • 3843147237 scopus 로고    scopus 로고
    • Data-driven aggregative schemes for multisource estimation fusion: A road travel time application
    • Orlando, Fla.
    • El Faouzi, N. E. Data-Driven Aggregative Schemes for Multisource Estimation Fusion: A Road Travel Time Application. Proc., SPIE-International Society for Optical Engineering, Orlando, Fla., 2004, pp. 351-359.
    • (2004) Proc., SPIE-International Society for Optical Engineering , pp. 351-359
    • El Faouzi, N.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.