Trip-timing decisions with traffic incidents
This paper analyzes traffic bottleneck congestion when drivers randomly cause incidents that temporarily block the bottleneck. Drivers have general scheduling preferences for time spent at home and at work. They independently choose morning departure times from home to maximize expected utility without knowing whether an incident has occurred. The resulting departure time pattern may be compressed or dispersed according to whether or not the bottleneck is fully utilized throughout the departure period on days without incidents. For both the user equilibrium (UE) and the social optimum (SO) the departure pattern changes from compressed to dispersed when the probability of an incident becomes sufficiently high. The SO can be decentralized with a time-varying toll, but drivers are likely to be strictly worse off than in the UE unless they benefit from the toll revenues in some way. A numerical example is presented for illustration. Finally, the model is extended to encompass minor incidents in which the bottleneck retains some capacity during an incident.
|Date of creation:||2013|
|Date of revision:|
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- Fosgerau, Mogens & Engelson, Leonid, 2010.
"The value of travel time variance,"
42272, University Library of Munich, Germany.
- Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-79, March.
- Robert B. Noland & Mohammed A. Quddus, 2003.
"Congestion and Safety: A Spatial Analysis of London,"
ERSA conference papers
ersa03p66, European Regional Science Association.
- Noland, Robert B. & Quddus, Mohammed A., 2005. "Congestion and safety: A spatial analysis of London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 737-754.
- De Palma, André & Fosgerau, Mogens, 2010.
"Random queues and risk averse users,"
24215, University Library of Munich, Germany.
- Henderson, J. V., 1974. "Road congestion : A reconsideration of pricing theory," Journal of Urban Economics, Elsevier, vol. 1(3), pages 346-365, July.
- Richard Arnott & Andre de Palma & Robin Lindsey, 1985.
"Economics of a Bottleneck,"
636, Queen's University, Department of Economics.
- Hall, Randolph W., 1983. "Travel outcome and performance: The effect of uncertainty on accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 17(4), pages 275-290, August.
- Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
- Mogens Fosgerau & André De Palma, 2012.
"Congestion in a city with a central bottleneck,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
- Léonard,Daniel & Long,Ngo van, 1992.
"Optimal Control Theory and Static Optimization in Economics,"
Cambridge University Press, number 9780521337465, September.
- Léonard,Daniel & Long,Ngo van, 1992. "Optimal Control Theory and Static Optimization in Economics," Cambridge Books, Cambridge University Press, number 9780521331586, September.
- Tseng, Yin-Yen & Verhoef, Erik T., 2008.
"Value of time by time of day: A stated-preference study,"
Transportation Research Part B: Methodological,
Elsevier, vol. 42(7-8), pages 607-618, August.
- Yin-yen Tseng & Erik Verhoef, 2007. "Value of Time by Time of Day: A Stated-Preference Study," Tinbergen Institute Discussion Papers 07-061/3, Tinbergen Institute, revised 08 Nov 2007.
- Fosgerau, Mogens, 2008.
"On the relation between the mean and variance of delay in dynamic queues with random capacity and demand,"
11994, University Library of Munich, Germany.
- Fosgerau, Mogens, 2010. "On the relation between the mean and variance of delay in dynamic queues with random capacity and demand," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 598-603, April.
- Hall, Randolph W., 2002. "Incident dispatching, clearance and delay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(1), pages 1-16, January.
- Andrew Dickerson & John Peirson & Roger Vickerman, 1998.
"Road Accidents and Traffic Flows: An Econometric Investigation,"
Studies in Economics
9809, School of Economics, University of Kent.
- Dickerson, Andrew & Peirson, John & Vickerman, Roger, 2000. "Road Accidents and Traffic Flows: An Econometric Investigation," Economica, London School of Economics and Political Science, vol. 67(265), pages 101-21, February.
- Paul Koster & Piet Rietveld, 2011. "Optimising Incident Management on the Road," Journal of Transport Economics and Policy, University of Bath, vol. 45(1), pages 63-81, January.
- Nam, Doohee & Mannering, Fred, 2000. "An exploratory hazard-based analysis of highway incident duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(2), pages 85-102, February.
- André De Palma & Robin Lindsey & Nathalie Picard, 2008. "Risk aversion, the value of information and traffic equilibrium," Working Papers hal-00349492, HAL.
- Zhang, Xiaoning & Huang, Hai-Jun & Zhang, H.M., 2008. "Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 38-56, January.
- Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1999.
"Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand,"
European Economic Review,
Elsevier, vol. 43(3), pages 525-548, March.
- R. Arnott & A. de Palma & R. Lindsey, 1997. "Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand," THEMA Working Papers 97-13, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Richard Arnott & Andre de Palma & Robin Lindsey, 1996. "Information and Time-of-Usage Decisions in the Bottleneck Model with Stochastic Capacity and Demand," Boston College Working Papers in Economics 355., Boston College Department of Economics.
- Jenelius, Erik & Mattsson, Lars-Göran & Levinson, David, 2011. "Traveler delay costs and value of time with trip chains, flexible activity scheduling and information," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 789-807, June.
- Schrage, Andrea, 2006. "Traffic Congestion and Accidents," University of Regensburg Working Papers in Business, Economics and Management Information Systems 419, University of Regensburg, Department of Economics.
- Noland, Robert B., 1997. "Commuter Responses to Travel Time Uncertainty under Congested Conditions: Expected Costs and the Provision of Information," Journal of Urban Economics, Elsevier, vol. 41(3), pages 377-406, May.
- Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
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