메뉴 건너뛰기




Volumn , Issue , 2019, Pages 311-340

The impact of data quantity on the performance of neural network freeway incident detection models

Author keywords

[No Author keywords available]

Indexed keywords


EID: 85082581993     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780429445286-15     Document Type: Chapter
Times cited : (3)

References (23)
  • 1
    • 0002567516 scopus 로고
    • Application of time-series analysis techniques to freeway incident detection
    • Ahmed S.R. and Cook, A.R. (1982), ‘Application of Time-series Analysis Techniques to Freeway Incident Detection’, Transportation Research Record, Vol. 841, pp. 19-21.
    • (1982) Transportation Research Record , vol.841 , pp. 19-21
    • Ahmed, S.R.1    Cook, A.R.2
  • 3
    • 0029416188 scopus 로고
    • Automated detection of lane-blocking freeway incidents using artificial neural networks
    • Cheu, R.L. and Ritchie, S.G. (1995), ‘Automated Detection of Lane-blocking Freeway Incidents using Artificial Neural Networks’ Transportation Research, Vol. 3C, No.6, pp. 371-88.
    • (1995) Transportation Research , vol.3C , Issue.6 , pp. 371-388
    • Cheu, R.L.1    Ritchie, S.G.2
  • 5
    • 85029883238 scopus 로고    scopus 로고
    • Impact of data quality on the performance of neural network incident detection model
    • Orlando, Florida, USA, October
    • Dia, H. and G. Rose, G. (1996), ‘Impact of Data Quality on the Performance of Neural Network Incident Detection Model’, Paper presented at the Third World Congress on Intelligent Transport Systems 96, Orlando, Florida, USA, October 14-18.
    • (1996) Paper Presented at the Third World Congress on Intelligent Transport Systems , vol.96 , pp. 14-18
    • Dia, H.1    Rose, G.2
  • 6
    • 85082594326 scopus 로고
    • paper presented at The 7th World Conference on Transport Research, Sydney, Australia, July 1995 (forthcoming in the selected conference proceedings)
    • Dia, H. and Rose, G. (1995), ‘Development of Artificial Neural Network Models for Automated Detection of Freeway Incidents’, paper presented at The 7th World Conference on Transport Research, Sydney, Australia, July 1995 (forthcoming in the selected conference proceedings).
    • (1995) Development of Artificial Neural Network Models for Automated Detection of Freeway Incidents
    • Dia, H.1    Rose, G.2
  • 8
    • 0002436698 scopus 로고
    • Distinguishing between incident congestion and recurrent congestion: A proposed logic
    • Gall A.I. and Hall, F.L. (1989), ‘Distinguishing Between Incident Congestion and Recurrent Congestion: A Proposed Logic’, Transportation Research Record, Vol. 1232, pp. 1-8.
    • (1989) Transportation Research Record , vol.1232 , pp. 1-8
    • Gall, A.I.1    Hall, F.L.2
  • 9
    • 0004199140 scopus 로고
    • Addison-Wesley Publishing Company, Inc.: Reading, Mass
    • Hecht-Nielsen, R. (1990), Neurocomputing, Addison-Wesley Publishing Company, Inc.: Reading, Mass.
    • (1990) Neurocomputing
    • Hecht-Nielsen, R.1
  • 10
    • 85082621272 scopus 로고
    • Machine vision applied to a speed violation detection-deterrent system’
    • Hill, G. and Adaway, B. (1994), Machine Vision Applied to a Speed Violation Detection-deterrent System’, Traffic Technology International, pp. 100-3.
    • (1994) Traffic Technology International , pp. 100-103
    • Hill, G.1    Adaway, B.2
  • 11
    • 0026609434 scopus 로고
    • Impacts, an amage analysis tool for motorway surveillance
    • Hoose, N. (1992), ‘IMPACTS, an Amage Analysis Tool for Motorway Surveillance’, Traffic Engineering and Control vol. 33, no.3, pp. 140-7.
    • (1992) Traffic Engineering and Control , vol.33 , Issue.3 , pp. 140-147
    • Hoose, N.1
  • 12
    • 0007944452 scopus 로고
    • Incident detection algorithms. Part 1: Off-line evaluation; part 2: On-line evaluation
    • Levin, M. and Krause, G.M. (1979), ‘Incident Detection Algorithms. Part 1: Off-line Evaluation; Part 2: On-line Evaluation’, Transportation Research Record, 722, pp. 49-64.
    • (1979) Transportation Research Record , vol.722 , pp. 49-64
    • Levin, M.1    Krause, G.M.2
  • 13
    • 0023088327 scopus 로고
    • Urban freeway congestion: Quantification of the problem and effectiveness of potential solutions
    • Lindley, J.A. (1987), ‘Urban Freeway Congestion: Quantification of the Problem and Effectiveness of Potential Solutions’, Institute of Transportation Engineers Journal Vol. 57, No. 1, pp. 27-32.
    • (1987) Institute of Transportation Engineers Journal , vol.57 , Issue.1 , pp. 27-32
    • Lindley, J.A.1
  • 14
    • 0026404186 scopus 로고
    • An automatic network travel time system - antts
    • Society of Automotive Engineers: Warrendale, PA
    • Longfoot, J. (1991), ‘An Automatic Network Travel Time System - ANTTS’, Proceedings of Vehicle Navigation and Information Systems Conference, Vol. 2, Society of Automotive Engineers: Warrendale, PA, pp. 1053-61.
    • (1991) Proceedings of Vehicle Navigation and Information Systems Conference , vol.2 , pp. 1053-1061
    • Longfoot, J.1
  • 20
    • 0024631226 scopus 로고
    • Catastrophe theory and patterns in 30-second freeway traffic data - implications for incident detection
    • Persaud, B.N. and Hall, F.L. (1989), ‘Catastrophe Theory and Patterns in 30-second Freeway Traffic Data - Implications for Incident Detection’, Transportation Research, vol. 23A, no.2, pp. 103-13.
    • (1989) Transportation Research , vol.23A , Issue.2 , pp. 103-113
    • Persaud, B.N.1    Hall, F.L.2
  • 21
    • 0000878974 scopus 로고
    • Simulation of freeway incident detection using artificial neural networks
    • Ritchie, S.G. and Cheu, R.L. (1993), ‘Simulation of Freeway Incident Detection using Artificial Neural Networks’, Transportation Research vol. 1C, no. 3, pp. 203-17.
    • (1993) Transportation Research , vol.1C , Issue.3 , pp. 203-217
    • Ritchie, S.G.1    Cheu, R.L.2
  • 23
    • 0003444646 scopus 로고
    • Learning internal representations by error propagation’
    • D.E. Rumelhart, J.L. McClelland and the PDP Research Group (eds), MIT Press: Cambridge, MA
    • Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986)’ Learning Internal Representations by Error Propagation’, in D.E. Rumelhart, J.L. McClelland and the PDP Research Group (eds) Parallel and Distributed Processing, Vol. 1, MIT Press: Cambridge, MA, pp. 318-62.
    • (1986) Parallel and Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.