Abstract
We solve a car driver’s routing decision problem under uncertainty in terms of fuel consumption costs. Suppose a car driver can estimate his fuel consumption for a given route between A and B. We study the optimal decision regarding which route to take, given the possibility of travelling between A and B using different routes, where each route is characterized by stochastic uncertain fuel consumption due to unknown traffic at the time of decision. We show that the cost of fuel consumption decreases significantly when taking routes with uncertain knowledge about prevailing traffic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Christopher, R. (2012). Reducing petroleum consumption from transportation. The Journal of Economic Perspectives, 26, 93–118.
E-Control (2013). \(Q4\) \(2011\), \(Q1\) \(2012\), \(Q2\) \(2012\), http://www.e-control.at/de/publikationen/preistransparenz-datenbank, Fuel price monitor: Quarterly reports, Jan 2013
Onada, Takao. (2008). Review of international policies for vehicle fuel efficiency. IEA Information paper, International Energy Agency.
The Case for Smarter Transportation (2010). Whitepaper, September 2010.
U.S. Department Of Transportation. (2009). National highway traffic safety administration, average fuel economy standards passenger cars and light trucks model year 2011. Federal Register, Rules and Regulations, 74(59), 255.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Unger, S., Cheung, W. (2014). Fuel Consumption Costs of Routing Uncertainty. In: Huisman, D., Louwerse, I., Wagelmans, A. (eds) Operations Research Proceedings 2013. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-07001-8_63
Download citation
DOI: https://doi.org/10.1007/978-3-319-07001-8_63
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07000-1
Online ISBN: 978-3-319-07001-8
eBook Packages: Business and EconomicsBusiness and Management (R0)