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Volumn , Issue 2047, 2008, Pages 49-56

Predicting impacts of intelligent transportation systems on freeway queue discharge flow variability

Author keywords

[No Author keywords available]

Indexed keywords

CURRICULA; FLOW RATE; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; QUEUEING THEORY;

EID: 53049087575     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2047-06     Document Type: Article
Times cited : (7)

References (19)
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    • Cohen, H.1    Southworth, F.2
  • 2
    • 85173180123 scopus 로고    scopus 로고
    • Texas Transportation Institute; University of Washington; and Dowling Associates
    • Cambridge Systematics, Inc, Transportation Research Board of the National Academies, Washington, D.C
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    • (2003) F-SHRP Web Document 3: Providing a Highway System with Reliable Travel Times
  • 3
    • 84855244225 scopus 로고    scopus 로고
    • Research and Innovative Technology Administration, U.S. Department of Transportation, July 2007
    • ITS Evaluation Guidelines: ITS Evaluation Resource Guide. Research and Innovative Technology Administration, U.S. Department of Transportation, July 2007. http://www.its.dot.gov/evaluation/eguide_resource.htm.
    • ITS Evaluation Guidelines: ITS Evaluation Resource Guide
  • 4
    • 38349044050 scopus 로고    scopus 로고
    • Zuylen. Impact of Traffic Flow on Travel Time Variability of Freeway Corridors
    • Transportation Research Board of the National Academies, Washington, D.C
    • Tu, H., J. W. C van Lint, and H. J. van. Zuylen. Impact of Traffic Flow on Travel Time Variability of Freeway Corridors. In Transportation Research Record: Journal of the Transportation Research Board, No. 1993, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 59-66.
    • (2007) Transportation Research Record: Journal of the Transportation Research Board, No. 1993 , pp. 59-66
    • Tu, H.1    van Lint, J.W.C.2    van, H.J.3
  • 5
    • 0003693579 scopus 로고    scopus 로고
    • TRB, National. Research Council, Washington, D.C
    • Highway Capacity Manual. TRB, National. Research Council, Washington, D.C., 2000.
    • (2000) Highway Capacity Manual
  • 7
    • 0032599748 scopus 로고    scopus 로고
    • Some Traffic Features at Freeway Bottlenecks
    • Cassidy, M. J., and R. L. Bertini. Some Traffic Features at Freeway Bottlenecks. Transportation Research, Vol. 33B, 1999, pp. 25-42.
    • (1999) Transportation Research , vol.33 B , pp. 25-42
    • Cassidy, M.J.1    Bertini, R.L.2
  • 13
    • 85173153679 scopus 로고    scopus 로고
    • Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, July
    • PeMS 9.0. Freeway Performance Measurement System. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, July 2007. https://pems.eecs.berkeley.edu/.
    • (2007) PeMS 9.0. Freeway Performance Measurement System
  • 15
    • 53049101395 scopus 로고    scopus 로고
    • The Marginal Decrease of Lane Capacity with the Number of Lanes on Highway
    • Yang, X., and N. Zhang. The Marginal Decrease of Lane Capacity with the Number of Lanes on Highway. Proc., Eastern Asia Society for Transportation Studies, Vol. 5, 2005, pp. 739-749.
    • (2005) Proc., Eastern Asia Society for Transportation Studies , vol.5 , pp. 739-749
    • Yang, X.1    Zhang, N.2
  • 18
    • 53049109428 scopus 로고    scopus 로고
    • Measuring Non-Recurrent Traffic Congestion
    • Dowling Associates and Systems Metrics Group, Final Report. California Department of Transportation, Sacramento, March
    • Dowling Associates and Systems Metrics Group. Measuring Non-Recurrent Traffic Congestion. Final Report. California Department of Transportation, Sacramento, March 2003.
    • (2003)
  • 19
    • 5344241162 scopus 로고    scopus 로고
    • I-880 Field Experiment: Data-Base Development and Incident Delay Estimation Procedures
    • TRB, National Research Council, Washington, D.C
    • Skabardonis, A., K. Petty, H. Noeimi, D. Rydzewski, and P. P. Varaiya. I-880 Field Experiment: Data-Base Development and Incident Delay Estimation Procedures. In Transportation Research Record 1554, TRB, National Research Council, Washington, D.C., 1996, pp. 204-212.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.