Influence of topology and payload on CO2 optimised vehicle routing

Scott, Cathy; Urquhart, Neil B; Hart, Emma

Abstract

This paper investigates the influence of gradient and payload correction factors used within a CO2 emission model on the solutions to shortest path and travelling salesman problems when applied to freight delivery.
Problem instances based on real life examples using the road network of Scotland are studied. Solutions are obtained using a range of metrics and vehicles. The results are compared to determine if the inclusion of gradient and payload as inputs to the emission model have any influence on the routes taken by vehicles or the order of visiting customers. For the problem instances studied no significant influence was found. However for vehicle routing problems with large differences in payload and hilly road networks further investigation is needed.

Citation

Scott, C., Urquhart, N. B., & Hart, E. (2010, April). Influence of topology and payload on CO2 optimised vehicle routing. Presented at European Conference on the Applications of Evolutionary Computation EvoApplications 2010: Applications of Evolutionary Computation, Istanbul

• Presentation Conference Type: Conference Paper (published)
• Conference Name: European Conference on the Applications of Evolutionary Computation EvoApplications 2010: Applications of Evolutionary Computation
• Start Date: Apr 7, 2010
• End Date: Apr 9, 2010
• Publication Date: 2010
• Deposit Date: Mar 19, 2010
• Publicly Available Date: May 16, 2017
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 6025
• Pages: 141-150
• Series Title: Lecture Notes in Computer Science
• Series Number: 6025
• Series ISSN: 0302-9743
• Book Title: Applications of Evolutionary Computing
• Chapter Number: 15
• ISBN: 978-3-642-12241-5
• DOI: https://doi.org/10.1007/978-3-642-12242-2_15
• Keywords: freight delivery; CO2 emission; vehicle routing; gradient; payload
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/3708
• Publisher URL: http://dx.doi.org/10.1007/978-3-642-12242-2_15
• Contract Date: May 16, 2017