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Time-Varying Travel Times in Vehicle Routing

Published: 01 May 2004 Publication History

Abstract

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.

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  • (2024)An adaptive variable neighbourhood search approach for the dynamic vehicle routing problemComputers and Operations Research10.1016/j.cor.2024.106531164:COnline publication date: 1-Apr-2024
  • (2023)Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction InformationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329927724:12(14362-14377)Online publication date: 1-Dec-2023
  • (2022)An Enhanced Network-Consistent Travel Speed Generation Scheme on Time-Dependent Shortest Path and Routing ProblemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.301638723:2(873-884)Online publication date: 1-Feb-2022
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Information & Contributors

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Published In

cover image Transportation Science
Transportation Science  Volume 38, Issue 2
May 2004
135 pages

Publisher

INFORMS

Linthicum, MD, United States

Publication History

Published: 01 May 2004

Author Tags

  1. Dynamic travel times
  2. Traffic information systems
  3. Vehicle routing

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Cited By

View all
  • (2024)An adaptive variable neighbourhood search approach for the dynamic vehicle routing problemComputers and Operations Research10.1016/j.cor.2024.106531164:COnline publication date: 1-Apr-2024
  • (2023)Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction InformationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329927724:12(14362-14377)Online publication date: 1-Dec-2023
  • (2022)An Enhanced Network-Consistent Travel Speed Generation Scheme on Time-Dependent Shortest Path and Routing ProblemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.301638723:2(873-884)Online publication date: 1-Feb-2022
  • (2021)Routing Electric Vehicles on Congested Street NetworksTransportation Science10.1287/trsc.2020.100455:1(238-256)Online publication date: 1-Jan-2021
  • (2021)PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road NetworksACM Transactions on Intelligent Systems and Technology10.1145/345909912:6(1-24)Online publication date: 16-Dec-2021
  • (2021)A two-stage optimization approach for inspection plan formulation of comprehensive inspection trainComputers and Industrial Engineering10.1016/j.cie.2021.107465159:COnline publication date: 1-Sep-2021
  • (2018)Time-Dependent Multiple Depot Vehicle Routing Problem on Megapolis Network under Wardrop's Traffic Flow AssignmentProceedings of the 22st Conference of Open Innovations Association FRUCT10.5555/3266365.3266389(173-178)Online publication date: 21-May-2018
  • (2017)A Simulation Based Restricted Dynamic Programming approach for the Green Time Dependent Vehicle Routing ProblemComputers and Operations Research10.1016/j.cor.2017.06.02388:C(297-305)Online publication date: 1-Dec-2017
  • (2017)A combined multistart random constructive heuristic and set partitioning based formulation for the vehicle routing problem with time dependent travel timesComputers and Operations Research10.1016/j.cor.2017.06.02188:C(290-296)Online publication date: 1-Dec-2017
  • (2017)The Traveling Purchaser Problem with time-dependent quantitiesComputers and Operations Research10.1016/j.cor.2017.01.00182:C(15-26)Online publication date: 1-Jun-2017
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