Transportation Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


TRANSPORTATION SCIENCE
Vol. 38, No. 2, May 2004, pp. 160-173
DOI: 10.1287/trsc.1030.0062
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Fleischmann, B.
Right arrow Articles by Gnutzmann, S.
Right arrow Search for Related Content

Time-Varying Travel Times in Vehicle Routing

Bernhard Fleischmann, Martin Gietz, Stefan Gnutzmann

Lehrstuhl für Produktion und Logistik, Universität Augsburg, D-86135 Augsburg, Germany
PROLOGOS Planung und Beratung, Tempowerkring 4, D-21079 Hamburg, Germany
Society and Technology Research Group, DaimlerChrysler AG, Alt-Moabit 96a, D-10559 Berlin, Germany

bernhard.fleischmann{at}wiwi.uni-augsburg.de
prologos{at}t-online.de
stefan.gnutzmann{at}daimlerchrysler.com

Models and algorithms for vehicle routing are usually based on known constant travel times between all relevant locations, an assumption that is far from reality, particularly for urban areas. But the consideration of travel times that vary with the time of day poses two serious problems: the adaptation of the algorithms and the procurement of reliable data about the behavior of the travel times in the road network. This article describes the derivation of travel time data from modern traffic information systems. It presents a general framework for the implementation of time-varying travel times in various vehicle-routing algorithms. Finally, it reports on computational tests with travel time data obtained from a traffic information system in the city of Berlin.

Key Words: vehicle routing; dynamic travel times; traffic information systems
History: Received: December 2000; revised: September 2001; revised: July 2002; accepted: January 2003.




This article has been cited by other articles:


Home page
Transportation ScienceHome page
B. Fleischmann, S. Gnutzmann, and E. Sandvoss
Dynamic Vehicle Routing Based on Online Traffic Information
Transportation Science, November 1, 2004; 38(4): 420 - 433.
[Abstract] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2004 by INFORMS.