메뉴 건너뛰기




Volumn , Issue 1802, 2002, Pages 97-104

Real-time inductive-signature-based level of service for signalized intersections

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; HIGHWAY SYSTEMS; INFORMATION ANALYSIS; REAL TIME SYSTEMS; SELF ORGANIZING MAPS; TRAFFIC SIGNALS;

EID: 0036960011     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1802-12     Document Type: Article
Times cited : (27)

References (15)
  • 1
    • 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
  • 2
    • 0012655818 scopus 로고    scopus 로고
    • G3F7: An expanded LOS gradation system
    • Jan.
    • Cameron, R. G3F7: An Expanded LOS Gradation System. ITE Journal, Jan. 1996, pp. 40-41.
    • (1996) ITE Journal , pp. 40-41
    • Cameron, R.1
  • 3
    • 0012698166 scopus 로고    scopus 로고
    • Level of service: Getting ready for the 21st century
    • Jan.
    • Baumgaertner, W. E. Level of Service: Getting Ready for the 21st Century. ITE Journal, Jan. 1996, pp. 36-39.
    • (1996) ITE Journal , pp. 36-39
    • Baumgaertner, W.E.1
  • 4
    • 0017562549 scopus 로고
    • Level of service at signalized intersections
    • TRB, National Research Council, Washington, D.C.
    • Sutaria, T. C., and J. J. Hayness. Level of Service at Signalized Intersections. In Transportation Research Record 644, TRB, National Research Council, Washington, D.C., 1977, pp. 107-113.
    • (1977) Transportation Research Record , vol.644 , pp. 107-113
    • Sutaria, T.C.1    Hayness, J.J.2
  • 6
    • 0028738517 scopus 로고
    • Methodology for determining level of service categories using attitudinal data
    • TRB, National Research Council, Washington, D.C.
    • Madanat, S. M., M. J. Cassidy, and W. H. W. Ibrahim. Methodology for Determining Level of Service Categories Using Attitudinal Data. In Transportation Research Record 1457, TRB, National Research Council, Washington, D.C., 1994, pp. 59-62.
    • (1994) Transportation Research Record , vol.1457 , pp. 59-62
    • Madanat, S.M.1    Cassidy, M.J.2    Ibrahim, W.H.W.3
  • 7
    • 0029333221 scopus 로고
    • Development of safety-based level-of-service criteria for isolated signalized intersections
    • TRB, National Research Council, Washington, D.C.
    • Ha, T.-J., and W. D. Berg. Development of Safety-Based Level-of-Service Criteria for Isolated Signalized Intersections In Transportation Research Record 1484, TRB, National Research Council, Washington, D.C., 1995, pp. 98-104.
    • (1995) Transportation Research Record , vol.1484 , pp. 98-104
    • Ha, T.-J.1    Berg, W.D.2
  • 8
    • 0033225053 scopus 로고    scopus 로고
    • Multilayer artificial neural networks for level-of-service analysis of signalized intersection
    • TRB, National Research Council, Washington, D.C.
    • Saito, M., and J. Fan. Multilayer Artificial Neural Networks for Level-of-Service Analysis of Signalized Intersection. In Transportation Research Record: Journal of the Transportation Research Board, No. 1678, TRB, National Research Council, Washington, D.C., 1999, pp. 216-224.
    • (1999) Transportation Research Record: Journal of the Transportation Research Board , vol.1678 , pp. 216-224
    • Saito, M.1    Fan, J.2
  • 9
    • 0012655542 scopus 로고
    • FHWA, U.S. Department of Transportation
    • Highway Capacity Software. FHWA, U.S. Department of Transportation, 1994.
    • (1994) Highway Capacity Software
  • 10
    • 0033350353 scopus 로고    scopus 로고
    • Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways
    • Sun, C., S. G. Ritchie, W. Tsai, and R. Jayakrishnan. Use of Vehicle Signature Analysis and Lexicographic Optimization for Vehicle Reidentification on Freeways. Transportation Research, Vol. 7C, 1999, pp. 167-185.
    • (1999) Transportation Research , vol.7 C , pp. 167-185
    • Sun, C.1    Ritchie, S.G.2    Tsai, W.3    Jayakrishnan, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.