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Volumn 28, Issue , 2013, Pages 87-100

Modeling freeway incident response time: A mechanism-based approach

Author keywords

Freeway incident; Incident response truck; Preparation delay; Response time; Travel time

Indexed keywords

PROBABILITY DISTRIBUTIONS; STOCHASTIC SYSTEMS; TRAVEL TIME; TRUCKS;

EID: 84873266119     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2012.12.005     Document Type: Article
Times cited : (22)

References (47)
  • 1
    • 38248999082 scopus 로고
    • Modeling the benefits of advanced traveler information systems in corridors with incidents
    • Al-Deek H., Kanafani A. Modeling the benefits of advanced traveler information systems in corridors with incidents. Transportation Research Part C: Emerging Technologies 1993, 1(4):303-324.
    • (1993) Transportation Research Part C: Emerging Technologies , vol.1 , Issue.4 , pp. 303-324
    • Al-Deek, H.1    Kanafani, A.2
  • 2
    • 84873248502 scopus 로고    scopus 로고
    • Analyzing clearance time of urban traffic accidents in Abu Dhabi using hazard-based duration modeling method
    • In: Presented at 90th Annual Meeting of the Transportation Research Board, Washington, DC.
    • Alkaabi, A., Dissanayake, D., Bird, R., 2011. Analyzing clearance time of urban traffic accidents in Abu Dhabi using hazard-based duration modeling method. In: Presented at 90th Annual Meeting of the Transportation Research Board, Washington, DC.
    • (2011)
    • Alkaabi, A.1    Dissanayake, D.2    Bird, R.3
  • 3
    • 84873251988 scopus 로고    scopus 로고
    • Investigating response time of highway traffic accidents in Abu Dhabi using hazard-based duration modeling technique
    • In: Presented at 91th Annual Meeting of the Transportation Research Board, Washington, DC.
    • Alkaabi, A., Dissanayake, D., Bird, R., 2012. Investigating response time of highway traffic accidents in Abu Dhabi using hazard-based duration modeling technique. In: Presented at 91th Annual Meeting of the Transportation Research Board, Washington, DC.
    • (2012)
    • Alkaabi, A.1    Dissanayake, D.2    Bird, R.3
  • 4
    • 84874310084 scopus 로고    scopus 로고
    • Safety impact of using the hard shoulder during congested traffic: the case of a managed lane operation on a French urban motorway
    • Transportation Research Part C: Emerging Technologies.
    • Aron, M., Seidowsky, R., Cohen, S., 2013. Safety impact of using the hard shoulder during congested traffic: the case of a managed lane operation on a French urban motorway. Transportation Research Part C: Emerging Technologies. http://dx.doi.org/10.1016/j.trc.2010.12.006.
    • (2013)
    • Aron, M.1    Seidowsky, R.2    Cohen, S.3
  • 5
    • 0003417370 scopus 로고
    • Discrete Choice Analysis: Theory and Application to Travel Demand
    • MIT Press, Cambridge, Mass
    • Ben-Akiva M.E., Lerman S.R. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press Series in Transportation Studies 1985, vol. 9. MIT Press, Cambridge, Mass, pp. 167-168.
    • (1985) MIT Press Series in Transportation Studies , vol.9 , pp. 167-168
    • Ben-Akiva, M.E.1    Lerman, S.R.2
  • 6
    • 84898352352 scopus 로고    scopus 로고
    • A naive Bayesian classifier for incident duration prediction
    • In: Presented at 86th Annual Meeting of the Transportation Research Board, Washington, DC.
    • Boyles, S., Fajardo, D., Waller, S.T., 2007. A naive Bayesian classifier for incident duration prediction. In: Presented at 86th Annual Meeting of the Transportation Research Board, Washington, DC.
    • (2007)
    • Boyles, S.1    Fajardo, D.2    Waller, S.T.3
  • 8
    • 71949115970 scopus 로고    scopus 로고
    • Development of an accident duration prediction model on the Korean Freeway Systems
    • Chung Y. Development of an accident duration prediction model on the Korean Freeway Systems. Accident Analysis and Prevention 2010, 42(1):282-289.
    • (2010) Accident Analysis and Prevention , vol.42 , Issue.1 , pp. 282-289
    • Chung, Y.1
  • 12
    • 84873261081 scopus 로고    scopus 로고
    • Structure learning for estimation of nonparametric incident duration prediction models
    • In: Presented at 90th Annual Meeting of the Transportation Research Board, Washington, DC.
    • Demiroluk, S., Ozbay, K., 2011. Structure learning for estimation of nonparametric incident duration prediction models. In: Presented at 90th Annual Meeting of the Transportation Research Board, Washington, DC.
    • (2011)
    • Demiroluk, S.1    Ozbay, K.2
  • 14
    • 84873245010 scopus 로고    scopus 로고
    • Analysis of factors affecting clearance time of freeway incidents
    • In: Presented at 91th Annual Meeting of the Transportation Research Board, Washington, DC.
    • Ghosh, I., Savolainen, P.T., 2012. Analysis of factors affecting clearance time of freeway incidents. In: Presented at 91th Annual Meeting of the Transportation Research Board, Washington, DC.
    • (2012)
    • Ghosh, I.1    Savolainen, P.T.2
  • 15
    • 0024855829 scopus 로고
    • Incident characteristics, frequency, and duration on a high volume urban freeway
    • Giuliano G. Incident characteristics, frequency, and duration on a high volume urban freeway. Transportation Research Part A: General 1989, 23(5):387-396.
    • (1989) Transportation Research Part A: General , vol.23 , Issue.5 , pp. 387-396
    • Giuliano, G.1
  • 16
    • 0023434259 scopus 로고
    • An analysis of the severity and incident duration of truck-involved freeway accidents
    • Golob T.F., Recker W.W., Leonard J.D. An analysis of the severity and incident duration of truck-involved freeway accidents. Accident Analysis and Prevention 1987, 19(5):375-395.
    • (1987) Accident Analysis and Prevention , vol.19 , Issue.5 , pp. 375-395
    • Golob, T.F.1    Recker, W.W.2    Leonard, J.D.3
  • 18
    • 0027996303 scopus 로고
    • Hazard-based duration models and their application to transport analysis
    • Hensher D.A., Mannering F.L. Hazard-based duration models and their application to transport analysis. Transport Reviews 1994, 14(1):63-82.
    • (1994) Transport Reviews , vol.14 , Issue.1 , pp. 63-82
    • Hensher, D.A.1    Mannering, F.L.2
  • 19
    • 84873248980 scopus 로고
    • Incidents and Intervention on Freeways. Research Report No. UCB-ITS-PRR-94-5
    • California PATH Program, University of California, Berkeley.
    • Heydecker, B., 1994. Incidents and Intervention on Freeways. Research Report No. UCB-ITS-PRR-94-5. California PATH Program, University of California, Berkeley.
    • (1994)
    • Heydecker, B.1
  • 21
    • 0026209335 scopus 로고
    • Analysis of the frequency and duration of freeway accidents in Seattle
    • Jones B., Janssen L., Mannering F. Analysis of the frequency and duration of freeway accidents in Seattle. Accident Analysis and Prevention 1991, 23(4):239-255.
    • (1991) Accident Analysis and Prevention , vol.23 , Issue.4 , pp. 239-255
    • Jones, B.1    Janssen, L.2    Mannering, F.3
  • 22
    • 66149092628 scopus 로고
    • A Simple Time Sequential Procedure For Predicting Freeway Incident Duration
    • Research Report No. UCB-ITS-PRR-94-26. California PATH Program, University of California, Berkeley.
    • Khattak, A.J., Schofer, J.L., Wang, M., 1994. A Simple Time Sequential Procedure For Predicting Freeway Incident Duration. Research Report No. UCB-ITS-PRR-94-26. California PATH Program, University of California, Berkeley.
    • (1994)
    • Khattak, A.J.1    Schofer, J.L.2    Wang, M.3
  • 23
    • 0042637847 scopus 로고
    • A simple time sequential procedure for predicting freeway incident duration
    • Khattak A.J., Schofer J.L., Wang M. A simple time sequential procedure for predicting freeway incident duration. IVHS Journal 1995, 2(2):113-138.
    • (1995) IVHS Journal , vol.2 , Issue.2 , pp. 113-138
    • Khattak, A.J.1    Schofer, J.L.2    Wang, M.3
  • 25
    • 31644451442 scopus 로고    scopus 로고
    • Influential factors in freeway crash response and clearance times by emergency management services in peak periods
    • Lee J., Fazio J. Influential factors in freeway crash response and clearance times by emergency management services in peak periods. Traffic Injury Prevention 2005, 6(4):331-339.
    • (2005) Traffic Injury Prevention , vol.6 , Issue.4 , pp. 331-339
    • Lee, J.1    Fazio, J.2
  • 26
    • 74049160021 scopus 로고    scopus 로고
    • A computerized feature selection method using genetic algorithms to forecast freeway accident duration times
    • Lee Y., Wei C.H. A computerized feature selection method using genetic algorithms to forecast freeway accident duration times. Computer-Aided Civil and Infrastructure Engineering 2010, 25(2):132-148.
    • (2010) Computer-Aided Civil and Infrastructure Engineering , vol.25 , Issue.2 , pp. 132-148
    • Lee, Y.1    Wei, C.H.2
  • 27
    • 0037306657 scopus 로고    scopus 로고
    • The value of advanced traveler information systems for route choice
    • Levinson D. The value of advanced traveler information systems for route choice. Transportation Research Part C: Emerging Technologies 2003, 11(1):75-87.
    • (2003) Transportation Research Part C: Emerging Technologies , vol.11 , Issue.1 , pp. 75-87
    • Levinson, D.1
  • 28
    • 84873263897 scopus 로고    scopus 로고
    • Bayesian network classifiers for incident duration prediction
    • In: Presented at 90th Annual Meeting of the Transportation Research Board, Washington, DC.
    • Li, D., Cheng, L., 2011. Bayesian network classifiers for incident duration prediction. In: Presented at 90th Annual Meeting of the Transportation Research Board, Washington, DC.
    • (2011)
    • Li, D.1    Cheng, L.2
  • 29
    • 0000090588 scopus 로고
    • On kinematic waves II. A theory of traffic flow on long crowded roads
    • A229
    • Lighthill M.H., Whitham G.B. On kinematic waves II. A theory of traffic flow on long crowded roads. Proceedings of the Royal Society 1955, A229:317-345.
    • (1955) Proceedings of the Royal Society , pp. 317-345
    • Lighthill, M.H.1    Whitham, G.B.2
  • 31
    • 78951489751 scopus 로고    scopus 로고
    • Freeway service patrol deployment planning for incident management and congestion mitigation
    • Lou Y., Yin Y., Lawphongpanich S. Freeway service patrol deployment planning for incident management and congestion mitigation. Transportation Research Part C: Emerging Technologies 2011, 19(2):283-295.
    • (2011) Transportation Research Part C: Emerging Technologies , vol.19 , Issue.2 , pp. 283-295
    • Lou, Y.1    Yin, Y.2    Lawphongpanich, S.3
  • 32
    • 0034433753 scopus 로고    scopus 로고
    • Analytical Expressions of Incident-induced flow Dynamics Perturbations Using Macroscopic Theory and Extension of Lighthill-Whitham Theory
    • Transportation Research Record: Journal of the Transportation Research Board No. 1710, Transportation Research Board of the National Academies
    • Mongeot, H., Lesort, J., 2000. Analytical Expressions of Incident-induced flow Dynamics Perturbations Using Macroscopic Theory and Extension of Lighthill-Whitham Theory. Transportation Research Record: Journal of the Transportation Research Board No. 1710, Transportation Research Board of the National Academies, pp. 58-68.
    • (2000) , pp. 58-68
    • Mongeot, H.1    Lesort, J.2
  • 34
    • 43949166728 scopus 로고
    • A simplified theory of kinematic waves in highway traffic, Part II: queuing at freeway bottlenecks
    • Newell G.F. A simplified theory of kinematic waves in highway traffic, Part II: queuing at freeway bottlenecks. Transportation Research Part B: Methodological 1993, 27(4):289-303.
    • (1993) Transportation Research Part B: Methodological , vol.27 , Issue.4 , pp. 289-303
    • Newell, G.F.1
  • 35
    • 0003960961 scopus 로고    scopus 로고
    • Incident Management in Intelligent Transportation Systems. Faculty Publications (ECE)
    • Paper 103. Artech House Intelligent Transportation Systems Library. .
    • Ozbay, K., Kachroo, P., 1999. Incident Management in Intelligent Transportation Systems. Faculty Publications (ECE). Paper 103. Artech House Intelligent Transportation Systems Library. http://www.digitalcommons.library.unlv.edu/ece_fac_articles/103.
    • (1999)
    • Ozbay, K.1    Kachroo, P.2
  • 36
    • 33644924880 scopus 로고    scopus 로고
    • Estimation of incident clearance times using Bayesian Networks Approach
    • Ozbay K., Noyan N. Estimation of incident clearance times using Bayesian Networks Approach. Accident Analysis and Prevention 2006, 38(3):542-555.
    • (2006) Accident Analysis and Prevention , vol.38 , Issue.3 , pp. 542-555
    • Ozbay, K.1    Noyan, N.2
  • 38
    • 0039965427 scopus 로고
    • The Weibull distribution - with the tables
    • Plait A. The Weibull distribution - with the tables. Industrial Quality Control 1962, 19(1):17-26.
    • (1962) Industrial Quality Control , vol.19 , Issue.1 , pp. 17-26
    • Plait, A.1
  • 39
    • 33845333239 scopus 로고    scopus 로고
    • Forecasting the Clearance Time of Freeway Accidents
    • Research Report No. UVACTS-15-0-35. USDOT University Transportation Center.
    • Smith, B.L., Smith, K., 2001. Forecasting the Clearance Time of Freeway Accidents. Research Report No. UVACTS-15-0-35. USDOT University Transportation Center.
    • (2001)
    • Smith, B.L.1    Smith, K.2
  • 40
    • 0001519535 scopus 로고    scopus 로고
    • New model for predicting freeway incidents and incident delays
    • Sullivan E.C. New model for predicting freeway incidents and incident delays. Journal of Transportation Engineering 1997, 123(4):267-275.
    • (1997) Journal of Transportation Engineering , vol.123 , Issue.4 , pp. 267-275
    • Sullivan, E.C.1
  • 41
    • 0032776879 scopus 로고    scopus 로고
    • Fuzzy logic systems for transportation engineering: the state of the art
    • Teodorovic D. Fuzzy logic systems for transportation engineering: the state of the art. Transportation Research Part A: Policy and Practice 1999, 33(5):337-364.
    • (1999) Transportation Research Part A: Policy and Practice , vol.33 , Issue.5 , pp. 337-364
    • Teodorovic, D.1
  • 42
    • 33846127017 scopus 로고
    • Transportation Research Board
    • Special Report 209: Highway Capacity Manual. National Research Council, Washington, DC.
    • Transportation Research Board, 1994. Special Report 209: Highway Capacity Manual. National Research Council, Washington, DC.
    • (1994)
  • 43
    • 4544353971 scopus 로고
    • Modeling Freeway Incident Clearance Time
    • MS Thesis. Civil Engineering Department, Northwestern University.
    • Wang, M., 1991. Modeling Freeway Incident Clearance Time. MS Thesis. Civil Engineering Department, Northwestern University.
    • (1991)
    • Wang, M.1
  • 44
    • 34548504071 scopus 로고    scopus 로고
    • Sequential forecast of incident duration using Artificial Neural Network models
    • Wei C.H., Lee Y. Sequential forecast of incident duration using Artificial Neural Network models. Accident Analysis and Prevention 2007, 39(5):944-954.
    • (2007) Accident Analysis and Prevention , vol.39 , Issue.5 , pp. 944-954
    • Wei, C.H.1    Lee, Y.2
  • 45
    • 0036722521 scopus 로고    scopus 로고
    • An analytical shock-fitting algorithm for LWR kinematic wave model embedded with linear speed-density relationship
    • Wong S.C., Wong G.C.K. An analytical shock-fitting algorithm for LWR kinematic wave model embedded with linear speed-density relationship. Transportation Research Part B: Methodological 2002, 36(8):683-706.
    • (2002) Transportation Research Part B: Methodological , vol.36 , Issue.8 , pp. 683-706
    • Wong, S.C.1    Wong, G.C.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.