메뉴 건너뛰기




Volumn 27, Issue 9-11, 1998, Pages 9-25

Development of a fuzzy-expert system for incident detection and classification

Author keywords

Detection; Expert; Fuzzy; Incident

Indexed keywords


EID: 0032078904     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-7177(98)00049-1     Document Type: Article
Times cited : (18)

References (39)
  • 1
    • 0018729076 scopus 로고
    • Analysis of freeway traffic time-series data by Box-Jenkins techniques
    • 1. M.S. Ahmed and A.R. Cook, Analysis of freeway traffic time-series data by Box-Jenkins techniques, Transportation Research Record 722, 1-9 (1979).
    • (1979) Transportation Research Record , vol.722 , pp. 1-9
    • Ahmed, M.S.1    Cook, A.R.2
  • 3
    • 0002567516 scopus 로고
    • Application of time-series analysis techniques to freeway incident detection
    • 3. M.S. Ahmed and A.R. Cook, Application of time-series analysis techniques to freeway incident detection, Transportation Research Record 841, 19-21 (1980).
    • (1980) Transportation Research Record , vol.841 , pp. 19-21
    • Ahmed, M.S.1    Cook, A.R.2
  • 4
    • 0020245110 scopus 로고
    • Discrete dynamic models for freeway incident detection systems
    • 4. M.S. Ahmed and A.R. Cook, Discrete dynamic models for freeway incident detection systems, Transportation Planning and Technology 7, 231-242 (1982).
    • (1982) Transportation Planning and Technology , vol.7 , pp. 231-242
    • Ahmed, M.S.1    Cook, A.R.2
  • 5
    • 0021086841 scopus 로고
    • Stochastic process in freeway traffic
    • 5. M.S. Ahmed, Stochastic process in freeway traffic, Traffic Engineering and Control 24, 306-311 (1983).
    • (1983) Traffic Engineering and Control , vol.24 , pp. 306-311
    • Ahmed, M.S.1
  • 6
    • 0010429878 scopus 로고
    • Automatic incident detection using computer vision techniques
    • Brussels, February 4-6, 1991
    • 6. J.M. Blosseville, S. Sellam, S. Guillen and Motika, Automatic incident detection using computer vision techniques, In Proc. of the DRIVE Conference, Brussels, February 4-6, 1991, Volume 1, pp. 714-739, (1991).
    • (1991) Proc. of the Drive Conference , vol.1 , pp. 714-739
    • Blosseville, J.M.1    Sellam, S.2    Guillen, S.3    Motika4
  • 8
    • 0010427993 scopus 로고
    • Automatic freeway incident detection
    • Department of Civil Engineering, The University of Maryland at College Park
    • 8. G.L. Chang and Y.L. Li, Automatic freeway incident detection, Draft Report DTFH61-92-122, Department of Civil Engineering, The University of Maryland at College Park, (1992).
    • (1992) Draft Report DTFH61-92-122
    • Chang, G.L.1    Li, Y.L.2
  • 10
    • 85040284495 scopus 로고
    • Automatic incident detection - Experience with TRRL Algorithm HIOCC
    • 10. J.F. Collins, Automatic incident detection - Experience with TRRL Algorithm HIOCC, TRRL Supplementary Report 775, (1983).
    • (1983) TRRL Supplementary Report , vol.775
    • Collins, J.F.1
  • 11
    • 0002389643 scopus 로고
    • Detection freeway capacity-reducing incidents by traffic stream measurements
    • 11. A.R. Cook and D.E. Cleveland, Detection freeway capacity-reducing incidents by traffic stream measurements, Transportation Research Record 495, 1-11 (1974).
    • (1974) Transportation Research Record , vol.495 , pp. 1-11
    • Cook, A.R.1    Cleveland, D.E.2
  • 14
    • 0015745011 scopus 로고
    • Detecting stoppage waves for freeway control
    • 14. C.L. Dudek and C.J. Messer, Detecting stoppage waves for freeway control, Highway Research Record 469, 1-15 (1973).
    • (1973) Highway Research Record , vol.469 , pp. 1-15
    • Dudek, C.L.1    Messer, C.J.2
  • 15
    • 0026882520 scopus 로고
    • Identifying incident congestion
    • June
    • 15. G.J. Forbes, Identifying incident congestion, ITE Journal, 17-22 (June 1992).
    • (1992) ITE Journal , pp. 17-22
    • Forbes, G.J.1
  • 16
    • 0002436698 scopus 로고
    • Distinguishing between incident congestion and recurrent congestion: A proposed logic
    • 16. A.I. Gall and F.L. Hall, Distinguishing between incident congestion and recurrent congestion: A proposed logic, Transportation Research Record 1232, 1-8 (1989).
    • (1989) Transportation Research Record , vol.1232 , pp. 1-8
    • Gall, A.I.1    Hall, F.L.2
  • 17
    • 0010469406 scopus 로고
    • Assessing the traffic impacts of freeway incidents and driver information
    • 17. D. Garrison and F. Mannering, Assessing the traffic impacts of freeway incidents and driver information, ITE Journal 60 (7), 19-23 (1990).
    • (1990) ITE Journal , vol.60 , Issue.7 , pp. 19-23
    • Garrison, D.1    Mannering, F.2
  • 18
    • 0023163224 scopus 로고
    • An interpretation of speed-flow-concentration relationships using catastrophe theory
    • 18. F.L. Hall, An interpretation of speed-flow-concentration relationships using catastrophe theory, Transportation Research A 21A (3), 191-201 (1987).
    • (1987) Transportation Research A , vol.21 A , Issue.3 , pp. 191-201
    • Hall, F.L.1
  • 20
    • 0043149637 scopus 로고
    • A visual surveillance system for incident detection, Presented at the AAAI-93 Workshop
    • July 12, 1993
    • 20. S. King, S. Motet, J. Thomere and F. Arlabosse, A visual surveillance system for incident detection, Presented at the AAAI-93 Workshop, AI in Intelligent Vehicle Highway Systems, July 12, 1993, pp. 30-36, (1993).
    • (1993) AI in Intelligent Vehicle Highway Systems , pp. 30-36
    • King, S.1    Motet, S.2    Thomere, J.3    Arlabosse, F.4
  • 21
    • 0018442890 scopus 로고
    • A probabilistic approach to incident detection on urban freeways
    • 21. M. Levin and G.M. Krause, A probabilistic approach to incident detection on urban freeways, Traffic Engineering and Control 20 (3), 107-109 (1979).
    • (1979) Traffic Engineering and Control , vol.20 , Issue.3 , pp. 107-109
    • Levin, M.1    Krause, G.M.2
  • 22
    • 0007944452 scopus 로고
    • Incident-detection algorithms, Part 1: Off-line evaluation; Part 2: On-line evaluation
    • 22. M. Levin and G.M. Krause, Incident-detection algorithms, Part 1: Off-line evaluation; Part 2: On-line evaluation, Transportation Research Record 722, 49-64 (1979).
    • (1979) Transportation Research Record , vol.722 , pp. 49-64
    • Levin, M.1    Krause, G.M.2
  • 23
    • 0001521996 scopus 로고
    • The calibration of freeway incident detection algorithms
    • Singapore, June 22-26, 1992
    • th REAAA Conference, Singapore, June 22-26, 1992, pp. 347-355, (1992).
    • (1992) th REAAA Conference , pp. 347-355
    • Luk, J.Y.K.1    Sin, F.Y.C.2
  • 24
  • 27
    • 0004096557 scopus 로고
    • Evaluation of existing incident detection algorithms
    • Federal Highway Administration, Washington, DC, February
    • 27. H. J. Payne, D.N. Goodwin and M.D. Teener, Evaluation of existing incident detection algorithms, Report No. FHWA-RD-75-39, Federal Highway Administration, Washington, DC, (February 1975).
    • (1975) Report No. FHWA-RD-75-39
    • Payne, H.J.1    Goodwin, D.N.2    Teener, M.D.3
  • 29
    • 0018115446 scopus 로고
    • Freeway incident detection algorithms based on decision trees with states
    • 29. H.J. Payne and S.C. Tignor, Freeway incident detection algorithms based on decision trees with states, Transportation Research Record 682, 30-37 (1978).
    • (1978) Transportation Research Record , vol.682 , pp. 30-37
    • Payne, H.J.1    Tignor, S.C.2
  • 30
    • 0024173944 scopus 로고
    • Effect of grade on the relationship between flow and occupancy on freeways
    • 30. B.N. Persaud and F.L. Hall, Effect of grade on the relationship between flow and occupancy on freeways, Transportation Research Record 1173, 33-38 (1988).
    • (1988) Transportation Research Record , vol.1173 , pp. 33-38
    • Persaud, B.N.1    Hall, F.L.2
  • 31
    • 0024631226 scopus 로고
    • Catastrophe theory and patterns in 30-second freeway traffic data-implications for incident detection
    • 31. B.N. Persaud and F.L. Hall, Catastrophe theory and patterns in 30-second freeway traffic data-implications for incident detection, Transportation Research A 23A (2), 103-113 (1989).
    • (1989) Transportation Research A , vol.23 A , Issue.2 , pp. 103-113
    • Persaud, B.N.1    Hall, F.L.2
  • 32
    • 0000769128 scopus 로고
    • Congestion identification aspects of the McMaster incident detection algorithm
    • 32. B.N. Persaud, F.L. Hall and L.M. Hall, Congestion identification aspects of the McMaster incident detection algorithm, Transportation Research Record 1287, 167-175 (1990).
    • (1990) Transportation Research Record , vol.1287 , pp. 167-175
    • Persaud, B.N.1    Hall, F.L.2    Hall, L.M.3
  • 34
    • 0000878974 scopus 로고
    • Simulation of freeway incident detection using artificial neural networks
    • 34. S.G. Ritche and R.L. Cheu, Simulation of freeway incident detection using artificial neural networks, Transportation Research C1 (3), 203-217 (1993).
    • (1993) Transportation Research C , vol.1 , Issue.3 , pp. 203-217
    • Ritche, S.G.1    Cheu, R.L.2
  • 35
    • 0016443851 scopus 로고
    • Development and evaluation of incident-detection algorithms for electronic-detector systems on freeways
    • 35. M. Sakasita and A.D. May, Development and evaluation of incident-detection algorithms for electronic-detector systems on freeways, Transportation Research Record 533, 48-63 (1975).
    • (1975) Transportation Research Record , vol.533 , pp. 48-63
    • Sakasita, M.1    May, A.D.2
  • 37
    • 0010508509 scopus 로고
    • Development and application of incident detection techniques to improve incident management in freeway corridors
    • Center for Transportation Studies, University of Minnesota
    • 37. Y.J. Stephanedes and A.P. Chassiakos, Development and application of incident detection techniques to improve incident management in freeway corridors, Report No. 0797-5027, Center for Transportation Studies, University of Minnesota, (1992).
    • (1992) Report No. 0797-5027
    • Stephanedes, Y.J.1    Chassiakos, A.P.2
  • 38
    • 0027311367 scopus 로고
    • Application of filtering techniques for incident detection
    • January/February
    • 38. Y.J. Stephanedes and A.P. Chassiakos, Application of filtering techniques for incident detection, Journal of Transportation Engineering 119 (1), 13-26 (January/February 1993).
    • (1993) Journal of Transportation Engineering , vol.119 , Issue.1 , pp. 13-26
    • Stephanedes, Y.J.1    Chassiakos, A.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.