Vehicle breakdown duration modeling

Journal of Transportation and Statistics

Volumn 8, Issue 1, 2005, Pages 75-84

  Wang, Wenqun ^a   Chen, Haibo ^b   Bell, Margaret C ^b  

^a ATKINS   (United Kingdom)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Fuzzy logic; Neural networks; Traffic incident management; Vehicle breakdown duration

Indexed keywords

EID: 24944592329     PISSN: 10948848     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Aleksander, I. and H. Morton. 1990. An Introduction to Neural Computing. London, England: Chapman & Hall.
2. Biran, A. and M. Breiner. 1999. Matlab 5 for Engineers. Reading, England: Addison-Wesley.
3. Choi, H.-K. 1996. Predicting Freeway Traffic Incident Duration in an Expert System Context Using Fuzzy Logic, Ph.D. dissertation. University of Southern California.
4. Clark, S.D., S.M. Grant-Muller, and H. Chen. 2002. Using Nonparametric Tests to Evaluate Traffic Forecasting Performance. Journal of Transportation and Statistics 5(1):47-56.
5. Cohen, S. and C. Nouveliere. 1997. Modelling Incident Duration on an Urban Expressway. IFAC/IFIP/FORS Symposium. Edited by M. Papageorgiou and A. Pouliezos. Chania, Greece.
6. Department for Transport. 2002. Transport Statistics Bulletin: Road Traffic Statistics: 2001. Compiled by A. Silvester and A. Smith. London, England.
7. Dougherty, M. 1995. A Review of Neural Networks Applied to Transport. Transport Research C 3:247-260.
8. Fu, L. and B. Hellinga. 2002. Real-Time, Adaptive Prediction of Incident Delay for Advanced Traffic Management Systems. Proceedings of the Annual Conference of the Canadian Institute of Transportation Engineers, May 12-15, 2002, Waterloo, Ontario, Canada.
9. Garib, A., A.E. Radwan, and H. Al-Deek. 1997. Estimating Magnitude and Duration of Incident Delays. ASCE Journal of Transportation Engineering 123:459-466.
10. Giuliano, G. 1989. Incident Characteristics, Frequency, and Duration on a High Volume Urban Freeway. Transportation Research A 23:387-396.
11. Golob, T.F., W.W. Recker, and J.D. Leonard. 1987. An Analysis of the Severity and Incident Duration of Truck-Involved Freeway Accidents. Accident Analysis and Prevention 19:375-395.
12. James, J.L. and A.K. Wainwright. 2002. Proactive Traffic Management in Wales. 11th IEE International Conference on Road Transport Information and Control. London, England: IEE Press.
13. Jones, B., L. Janssen, and F. Mannering. 1991. Analysis of the Frequency and Duration of Freeway Accidents in Seattle. Accident Analysis and Prevention 32:239-255.
14. Lau, C. 1992. Neural Networks - Theoretical Foundations and Analysis. New York, NY. IEEE Press.
15. Lindley, J.A. 1987. Urban Freeway Congestion: Quantification of the Problem and Effectiveness of Potential Solutions. ITE Journal 57:27-32.
16. Kim, H.J. and H.-K. Choi. 2001. A Comparative Analysis of Incident Service Time on Urban Freeways. Journal of the International Association of Traffic and Safety Sciences 25:62-72.
17. Mamdani, E.H. 1974. Application of Fuzzy Algorithms for Control of Simple Dynamic Plant. Proceedings of IEEE, Control and Science 121(12):1585-1588.
18. Nam, D. and F. Mannering. 2000. An Exploratory Hazard-Based Analysis of Highway Incident Duration. Transportation Research A 34:85-102.
19. NeuralWare, Inc. 1993. Neural Computing. Carnegie, PA.
20. Pedrycz, W. and F. Gomide. 1998. An Introduction to Fuzzy Sets: Analysis and Design. Cambridge, MA: MIT Press.
21. Sethi, V., F.S. Koppelman, C.P. Flannery, N. Bhomderi, and L. Schofer. 1994. Duration and Travel Time Impacts of Incidents - ADVANCE Project Technical Report. Northwestern University, Evanston, IL.
22. Quoted in K. Ozbay, and P. Kachroo. 1999. Incident Management in Intelligent Transportation Systems. Boston, MA: Artech House.
23. Smith, B.L. and K.W. Smith. 2000. An Investigation into Incident Duration Forecasting for Fleetforward. Charlottesville, VA: University of Virginia.
24. Sullivan, E.C. 1997. New Model for Predicting Freeway Incidents and Incident Delays. ASCE Journal of Transportation Engineering 123:267-275.
25. Teng, H. and Y. Qi. 2003. Detection-Delay-Based Freeway Incident Detection Algorithms. Transport Research C 11:265-287.
26. Teodorovic, D. 1999. Fuzzy Logic Systems for Transportation Engineering: The State of the Art. Transportation Research A 33:337-364.
27. U.S. Department of Transportation (USDOT), Federal Highway Administration. 2000. Traffic Incident Management Handbook. Washington, DC.
28. Wang, M. 1991. Modelling Freeway Incident Clearance Time, M.S. thesis. Northwestern University, Evanston, IL.
29. Quoted in K. Ozbay, and P. Kachroo. 1999. Incident Management in Intelligent Transportation Systems. Boston, MA: Artech House.
30. Wang W., H. Chen, and M.C. Bell. 2002. A Study of Characteristics of Motorway Vehicle Breakdown Duration. 11th 1EE International Conference on Road Transport Information and Control. London, England: IEE Press.
31. Yuan, F. and R.L. Cheu. 2003. Incident Detection Using Support Vector Machines. Transport Research C 11:309-328.
32. Zadeh, L. 1965. Fuzzy Sets. Information and Control 8:338-353.