Two-Phase Model of Ramp Closure for Incident Management
Abstract
Temporary on-ramp closure has been proposed as a strategy to reduce the impact of severe incidents on freeway facilities; however, to date no rigorous procedure has been made available to provide guidance on how such a technique should best be used. In particular, one must decide which ramps to close and for how long. A two-phase approach is proposed to answer these questions. The first phase is macroscopic in nature and predicts how motorists will reroute in response to any ramp closure and recommends which ramps should be closed. The second phase uses microsimulation to study the vicinity of the incident in greater detail, more fully accounting for dynamic traffic phenomena and attempting to answer the question of how long these ramps should be closed. From a computational standpoint, the first phase is designed to run as quickly as possible to allow the ramp closure policy to be enacted as the second phase begins, since the results of the second phase are not needed until later. This procedure is demonstrated by using a fictitious incident in the El Paso region of Texas.
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References
1. Lindley J. Urban Freeway Congestion: Quantification of the Problem and Effectiveness of Potential Solutions. ITE Journal, Vol. 57, 1987, pp. 27–32.
2. Miesse C. C. Optimization of Single-Lane Freeway Traffic Flow by Elective Ramp Closure. Transportation Research, Vol. 1, 1967, pp. 157–163.
3. Gervais E. F., and Roth W. An Evaluation of Freeway Ramp Closure. Traffic Division, Michigan State Highway Department, 1966.
4. Neudorff L. G., Randall J. E., Reiss R., and Gordon R. Freeway Management and Operations Handbook. FHWA, U.S. Department of Transportation, 1997.
5. Prevedouros P. D. Freeway Ramp Closure: Simulation, Experimentation, Evaluation and Preparation for Deployment. ITE Journal, Vol. 71, 2001, pp. 40–44.
6. Waller S. T., Boyles S., Fajardo D., and Karoonsoontawong A. Ramp Closure Strategies for Incident Management. Report 0-5422-R1. Texas Department of Transportation, Austin, 2007.
7. Wardrop J. Some Theoretical Aspects of Road Traffic Research. Proceedings of the Institute of Civil Engineers, Part II, 1952, pp. 325–378.
8. Ahuja R., Magnanti T., and Orlin J. Network Flows: Theory, Algorithms, and Applications. Prentice Hall, Upper Saddle River, N.J., 1993.
9. Frank M., and Wolfe P. An Algorithm for Quadratic Programming. Naval Research Logistics Quarterly, Vol. 3, 1956, pp. 95–110.
10. Jayakrishnan R., Tsai W. K., Prashker J. N., and Rajadhyaksha S. Faster Path-Based Algorithm for Traffic Assignment. In Transportation Research Record 1443, TRB, National Research Council, Washington, D.C., 1994, pp. 75–83.
11. Bar-Gera H. Origin-Based Algorithm for the Transportation Assignment Problem. Transportation Science, Vol. 36, 2002, pp. 398–417.
12. Dial R. A Path-Based User-Equilibrium Traffic Assignment Algorithm That Obviates Path Storage and Enumeration. Transportation Research, Vol. 40B, 2006, pp. 917–936.
13. Rossi T. F., McNeil S., and Hendrickson C. Entropy Model for Consistent Impact Fee Assessment. Journal of Urban Planning and Development, Vol. 115, 1989, pp. 51–63.
14. Bell M. G. H., and Iida Y. Transportation Network Analysis. Wiley, New York, 1997.
15. Bar-Gera H. Primal Method for Determining the Most Likely Route Flows in Large Road Networks. Transportation Science, Vol. 40, 2006, pp. 269–286.
16. Khattak A., Schofer J., and Wang M. A Simple Time-Sequential Procedure for Predicting Freeway Incident Duration. IVHS Journal, Vol. 2, 1995, pp. 113–138.
17. Nam D., and Mannering F. An Exploratory Hazard-Based Analysis of Highway Incident Duration. Transportation Research, Vol. 34A, 2000, pp. 85–102.
18. Ozbay K., and Noyan N. Estimation of Incident Clearance Times Using Bayesian Networks Approach. Accident Analysis and Prevention, Vol. 38, 2006, pp. 542–555.
19. Boyles S., Fajardo D., and Waller S. T. Naïve Bayesian Classifier for Incident Duration Prediction. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
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Article first published online: January 1, 2008
Issue published: January 2008
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