Real-time estimation of incident delay in dynamic and stochastic networks

Transportation Research Record

Volumn , Issue 1603, 1997, Pages 99-105

  Fu, Liping ^a   Rilett, Laurence R ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 1942495117     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1603-13     Document Type: Article

References (16)

1. Fu, L. Real-Time Vehicle Routing and Scheduling in Dynamic and Stochastic Traffic Networks. Ph. D. dissertation. Department of Civil and Environmental Engineering, University of Alberta, Edmonton 1996.
2. Chow, W. M. A Study of Traffic Performance Models Under an Incident Condition. Highway Research Record 567, TRB. National Research Council, Washington, D.C., 1976, pp. 31-36.
3. Special Report 209: Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 1994.
4. Wirasinghe, C. S. Determination of Traffic Delays from Shock Wave Analysis. Transportation Research, Vol. 12, 1978.
5. Morales, M. J. Analytical Procedures for Estimating Freeway Traffic Congestion. Public Road, Vol. 50, No. 2, Sept. 1986.
6. Al-Deek, H., A. Garib, and A. E. Radwan. New Method for Estimating Freeway Incident Congestion. In Transportation Research Record 1474, TRB, National Research Council, Washington D.C., 1995, pp. 30-39.
7. Messer, C. J., C. L. Dudek, and J. D. Friebele. Method for Predicting Travel Time and Other Operational Measures in Real-Time During Freeway Incident Conditions. In Highway Research Record 461, TRB. National Research Council, Washington, D.C., 1973, pp. 1-11.
8. Hoffman, C., and J. Janko. Travel Time as a Basis of the LISB Guidance Strategy. Presented at IEEE Road Traffic Control Conference, London, 1990.
9. Koutsopoulos, H. N., and H. Xu. An Information Discounting Routing Strategy for Advanced Traveler Information Systems. Transportation Research C, No. 3, 1991.
10. Boyce, D., N. Rouphail, and A. Kirson. Estimation and Measurement of Link Travel Times in the ADVANCE Project. IEEE-IEE Vehicle Navigation & Information Systems Conference, Ottawa, Ontario, 1993.
11. Koutsopoulos, H. N., and A. Yablonski. Design Parameters of Advanced Information System: the Case of Incident Congestion and Small Market Penetration. Proc., 2nd Vehicle Navigation and Information System Conference, Dearborn, Mich., 1991.
12. Al-Deek, H., and A. Kanafani. Incident Management with Advanced Traveler Information System. Proc., 2nd Vehicle Navigation and Information System Conference, Dearborn, Mich., 1991.
13. Golob, T. F., W. W. Recker, and J. D. Leonard. An Analysis of the Severity and Incident Duration of Truck-Involved Freeway Accidents. Accident Analysis and Prediction, Vol. 19, 1987.
14. Giuliano, G. Incident Characteristics, Frequency, and Duration on a High Volume Urban Freeway. Transportation Research A, 23A, No. 5, 1989.
15. Rilett, L. R. Modeling of TravTek's Route Guidance Logic using the INTEGRATION Model. Ph. D. thesis. Queen's University, Kingston, Ontario, August 1992.
16. Fu, L., and L. R. Rilett. Estimation of Expected Minimum Paths in Dynamic and Stochastic Traffic Networks. Proc., 6th International Conference on Vehicular Navigation and Information Systems (VNIS), Seattle, Wash., August 1995.