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Volumn 1133, Issue , 2014, Pages 323-330

Traffic incident detection using probabilistic topic model

Author keywords

Anomaly detection; Automatic incident detection; Probabilistic topic model; Probe car data; Traffic state estimation

Indexed keywords

PROBES;

EID: 84923648631     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (20)
  • 1
    • 0033340740 scopus 로고    scopus 로고
    • Enhancing the universality and transferability of freeway incident detection using a bayesian-based neural network
    • B. Abdulhai and S. G. Ritchie. Enhancing the universality and transferability of freeway incident detection using a bayesian-based neural network. Transportation Research Part C: Emerging Technologies, 7(5):261-280, 1999.
    • (1999) Transportation Research Part C: Emerging Technologies , vol.7 , Issue.5 , pp. 261-280
    • Abdulhai, B.1    Ritchie, S.G.2
  • 4
    • 84861170800 scopus 로고    scopus 로고
    • Probabilistic topic models
    • Apr.
    • D. M. Blei. Probabilistic topic models. Commun. ACM, 55(4):77-84, Apr. 2012.
    • (2012) Commun. ACM , vol.55 , Issue.4 , pp. 77-84
    • Blei, D.M.1
  • 9
    • 34548418419 scopus 로고    scopus 로고
    • Current map-matching algorithms for transport applications: State-of-the art and future research directions
    • M. A. Quddus, W. Y. Ochieng, and R. B. Noland. Current map-matching algorithms for transport applications: State-of-the art and future research directions. Transportation Research Part C: Emerging Technologies, 15(5):312-328, 2007.
    • (2007) Transportation Research Part C: Emerging Technologies , vol.15 , Issue.5 , pp. 312-328
    • Quddus, M.A.1    Ochieng, W.Y.2    Noland, R.B.3
  • 15
    • 84863286960 scopus 로고    scopus 로고
    • A clustering approach to online freeway traffic state identification using its data
    • J. Xia, W. Huang, and J. Guo. A clustering approach to online freeway traffic state identification using its data. KSCE Journal of Civil Engineering, 16(3):426-432, 2012.
    • (2012) KSCE Journal of Civil Engineering , vol.16 , Issue.3 , pp. 426-432
    • Xia, J.1    Huang, W.2    Guo, J.3
  • 18
    • 0042664078 scopus 로고    scopus 로고
    • Incident detection using support vector machines
    • Traffic Detection and Estimation
    • F. Yuan and R. L. Cheu. Incident detection using support vector machines. Transportation Research Part C: Emerging Technologies, 11(3-4):309-328, 2003. Traffic Detection and Estimation.
    • (2003) Transportation Research Part C: Emerging Technologies , vol.11 , Issue.3-4 , pp. 309-328
    • Yuan, F.1    Cheu, R.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.