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The Downs-Thomson Effect in a Markov Process

Published online by Cambridge University Press:  27 July 2009

Bruce Calvert
Affiliation:
Department of Mathematics, University of Auckland, Private Bag 92019, Auckland, New Zealand

Abstract

Suppose customers pass through a network of two queues in parallel. A statedependent routing policy gives individuals their quickest journey. The Downs-Thomson effect is any increase in the long-run expected journey time caused by an increase in the service rates. This effect may occur.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1997

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References

1.Abraham, H. & Mahoney, O. (1994). Road pricing and public transport provision in London. Traffic Engineering and Control 35: 666670.Google Scholar
2.Arnott, R. & Small, K. (1994). The economics of traffic congestion. American Scientist 82: 447455.Google Scholar
3.Bly, P.H., Johnston, R.H., & Webster, F.V. (1987). A panacea for road congestion? Traffic Engineering and Control 28: 812, 19–20.Google Scholar
4.Brady, M.E. (1993). Dynamic stability, traffic equilibrium and the law of peak-hour expressway congestion. Transportation Research 27B: 229236.Google Scholar
5.Calvert, B., Solomon, W., & Ziedins, I. (to appear). Braess's paradox in a queueing network with state dependent routing. Journal of Applied Probability.Google Scholar
6.Cohen, J.E. & Kelly, F.P. (1990). A paradox of congestion in a queuing network. Journal of Applied Probability 27: 730734.Google Scholar
7.Downs, A. (1962). The law of peak-hour expressway congestion. Traffic Quarterly 16: 393409.Google Scholar
8.Hickling-Lewis-Brod, , Inc. (1994). Unsticking traffic: When transit works and why. Washington, D.C.: Federal Transport Administration, U.S. Department of Transportation.Google Scholar
9.Holden, J. (1989). Wardrop's third principle. Journal of Transport Economics and Policy 23: 239262.Google Scholar
10.Kanafani, A. (1983). Transportation demand and analysis. New York: McGraw Hill.Google Scholar
11.Mackie, P.J. & Bonsall, P.W. (1989). Traveller response to road improvements: Implications for user benefits. Traffic Engineering and Control 30: 411416.Google Scholar
12.May, A.D., Guest, P.W., & Gardner, K. (1990). Can rail-based policies relieve urban congestion? Traffic Engineering and Control 31: 406407.Google Scholar
13.Mogridge, M.J.H. (1988). Jams and superjams: A systems approach to congested traffic networks. Civil Engineering Systems: Decision Making and Problem Solving 5(4): 181193.Google Scholar
14.Mogridge, M.J.H. (1990). Planning for optimum urban efficiency; the relationship between congestion on the roads and public transport. Transportation Planning Systems 1(1): 1119.Google Scholar
15.Mogridge, M.J.H. & Holden, D.J. (1989). A panacea for road congestion: A riposte. Traffic Engineering and Control 28: 1319.Google Scholar
16.Mogridge, M.J.H., Holden, D.J., Bird, J., & Terzis, G.C. (1987). The Downs-Thomson paradox and the transportation planning process. International Journal of Transport Economics 14: 283311.Google Scholar
17.Olszewski, P. & Suchorzewski, W. (1987). Traffic capacity of the city centre. Traffic Engineering and Control 28: 336337, 339–343, 348, 647.Google Scholar
18.Ross, S.M. (1980). Introduction to probability models. New York: Academic Press.Google Scholar
19.Thomson, J.M. (1977). Great cities and their traffic. London: Gollancz, Peregrine Edition.Google Scholar
20.Wardrop, J.G. (1952). Some theoretical aspects of road traffic research. Proceedings, Institution of Civil Engineers 1(11): 325378.Google Scholar
21.Williams, H.C.W.L., Lam, W.M., Austin, J. & Sims, K.S. (1991). Transport policy appraisal with equilibrium models III: Investment benefits in multi-modal systems. Transportation Research 25B: 293316.Google Scholar
22.Younes, B. (1993). Roads in urban areas: To build or not to build? Transport Reviews 13: 99117.Google Scholar