Critical Link Identification for Traffic Incident Management Programme under Degradable Stochastic Network

References

• Asakura, Y. and Kashiwadani, M., Road network reliability caused by daily fluctuation of traffic flow. Proceedings of the 19th PTRC Summer Annual Meeting (Seminar G). pp73–84. Brighton (1991).
   Google Scholar
• Bell, M.G.H. and Iida, Y., Transportation network analysis. John Wiley & Sons. New York (1997).
   Google Scholar
• Chen, A., Subprasom, K. and Ji, Z., Mean-variance Model for the Build-operatetransfer Scheme under Demand Uncertainty. Transportation Research Record: Journal of the Transportation Research Board. No 1857, pp93–101. (2003).
   Google Scholar
• Clark, S. and Watling, D., Modelling network travel time reliability under stochastic demand. Transportation Research Part B. Volume 39, No 7, pp119- 140. (2005).
   Google Scholar
• FHWA. Traffic Incident Management Handbook., Federal of Highway. United States of America (2000). Retrieved 2 April, 2009 from http://ops.fhwa.dot.gov/incidentmgmt/about/handbook.htm
   Google Scholar
• Haviv, M. and Roughgaden, T., The price of anarchy in an exponential multiserver. Operations Research Letters. Volume 35, pp421–426. Elsevier (2007).
   Google Scholar
• Lam, W.H.K., Shao, H. and Sumalee, A., Modelling impacts of adverse weather conditions on a road network with uncertainties in demand and supply. Transportation Research Part B. Volume 42, No 10, pp890–910. (2008).
   Google Scholar
• Nagurney, A., Network Economics: A Variational Inequality Approach. Kluwer Academic Publishers. Boston (1999).
   Google Scholar
• Nakayama, S. and Takayama, J., Traffic Network Equilibrium Model for Uncertain Demands. Proceedings of the 82th Annual Meeting of the Transportation Research Board. Washington, DC (2003).
   Google Scholar
• Pal, R. and Sinha, K., Optimal Design of Freeway Incident Response Systems. Report No FHWA/IN/JTRP-99/10. US Department of Transportation. Washington, DC (2000).
   Google Scholar
• Papadimitriou, C.H., Algorithms, games, and the internet. Proceedings of the thirty-third annual ACM symposium on Theory of computing. ACM. Greece (2001).
   Google Scholar
• Roughgaden, T., The price of anarchy is independent of the network topology. Journal of Computer and System Sciences. Volume 67, No 2, pp341–364. Elsevier (2003).
   Google Scholar
• Shed, J.B., Chou, Y.H. and Weng, M.C., Stochastic system modelling and optimal control of incident-induced traffic congestion. Mathematical and Computer Modelling. Volume 38, No 5–6, pp533–549. Elsevier (2003).
   Google Scholar
• Sheffi, Y., Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall. Englewood Cliffs, N J (1985).
   Google Scholar
• Sheu, J.B., Stochastic modelling of the dynamics of incident-induced lane traffic states for incident-responsive local ramp control. Physica A: Statistical Mechanics and its Applications. Volume 386, No 1, pp365–380. Elsevier (2007).
   Google Scholar
• Smith, M.J., The existence, uniqueness and stability of traffic equilibria. Transportation Research Part B. Volume 13, No 4, pp295–304. (1979).
   Google Scholar
• Sumalee, A., Connors, R. and Watling, D., An Optimal Toll Design Problem with Improved Behavioural Equilibrium Model: The Case of the Probit Model. In Hearn, D., Lawphongpanich, S. and Smith, M. (eds). Mathematical and Computational Models for Congestion Charging. pp219–240. Springer, New York (2006).
   Google Scholar
• Sumalee, A., Luathep, P., Lam, W.H.K. and Connors, R.D., Evaluation and Design of Transport Network Capacity under Demand Uncertainty. Transportation Research Record. Volume 2090, pp17–28. (2009).
   Google Scholar
• Sumalee, A. and Xu, W., The Marginal Cost Pricing under Stochastic Network. Proceedings of the 13th International Conference of Hong Kong Society for Transportation Studies. Hong Kong, China (2008).
   Google Scholar
• Wardrop, J.G., Some Theoretical Aspects of Road Traffic Research. Proceedings of the Institute of Civil Engineers. Volume 1, No 2, pp325–362. Institute of Civil Engineers. (1952).
   Google Scholar
• Youn, H., Gastner, M.T. and Jeong, H., Price of Anarchy in Transportation Networks: Efficiency and Optimality Control. Physical Review Letters. Volume 101, No 12. American Physical Society. (2008).
   Google Scholar
• Zhao, Y. and Kockelman, K. M., The propagation of uncertainty through travel demand models: An exploratory analysis. The Annals of Regional Science. Volume 36, No 1, pp145–163. Springer (2002).
   Google Scholar