EconPapers    
Economics at your fingertips  
 

Comparison of platoon formations using departure time coordination heuristic

S. Sivanandham and M.S. Gajanand

International Journal of Operational Research, 2022, vol. 43, issue 1/2, 96-118

Abstract: A platoon is a set of virtually linked vehicles that drive closely behind one another. Truck platooning is a fast-emerging application of connected and autonomous vehicles to help tackle the traditional problems of the transportation industry and to reduce cost and minimise emissions. In this study, we present a departure time coordination-based heuristic solution for platoon formations. We also use a comprehensive modal emission model to understand the influence of velocity and size of the platoon on fuel savings potential. We compare the heuristic's performance on the different variants of the platooning problem in the literature with a central platoon coordinator and analyse the impact of the type of vehicle, speed, load and size of the platoon on the fuel savings potential of platooning. Numerical analysis shows a fuel savings potential of 6.4% to 8% for a platoon size of three with heavy duty vehicles at 80 kmph for different configurations.

Keywords: platooning; fuel savings; routing problem; departure time; platoon formation; freight transportation. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=121487 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:43:y:2022:i:1/2:p:96-118

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijores:v:43:y:2022:i:1/2:p:96-118