Journal of the Operational Research Society

, Volume 61, Issue 3, pp 515–522

Vehicle routing and scheduling with time-varying data: A case study

  • W Maden
  • R Eglese
  • D Black
Part 2: Transportation, Logistics and the Environment

DOI: 10.1057/jors.2009.116

Cite this article as:
Maden, W., Eglese, R. & Black, D. J Oper Res Soc (2010) 61: 515. doi:10.1057/jors.2009.116

Abstract

A heuristic algorithm is described for vehicle routing and scheduling problems to minimise the total travel time, where the time required for a vehicle to travel along any road in the network varies according to the time of travel. The variation is caused by congestion that is typically greatest during morning and evening rush hours. The algorithm is used to schedule a fleet of delivery vehicles operating in the South West of the United Kingdom for a sample of days. The results demonstrate how conventional methods that do not take time-varying speeds into account when planning, except for an overall contingency allowance, may still lead to some routes taking too long. The results are analysed to show that in the case study using the proposed approach can lead to savings in CO2 emissions of about 7%.

Keywords

vehicle routingdistributionheuristicsenvironment

Copyright information

© Operational Research Society 2010

Authors and Affiliations

  • W Maden
    • 1
  • R Eglese
    • 2
  • D Black
    • 2
  1. 1.University of HuddersfieldHuddersfieldUK
  2. 2.Lancaster University Management SchoolLancasterUK