Coordinating Truck Platooning by Clustering Pairwise Fuel-Optimal Plans
2015 (English)In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE conference proceedings, 2015, 408-415 p.Conference paper (Refereed)Text
We consider the fuel-optimal coordination of trucks into platoons. Truck platooning is a promising technology that enables trucks to save significant amounts of fuel by driving close together and thus reducing air drag. We study how fuel-optimal speed profiles for platooning can be computed. A first-order fuel model is considered and pairwise optimal plans are derived. We formulate an optimization problem that combines these pairwise plans into an overall plan for a large number of trucks. The problem resembles a medoids clustering problem. We propose an approximation algorithm similar to the partitioning around medoids algorithm and discuss its convergence. The method is evaluated with Monte Carlo simulations. We demonstrate that the proposed algorithm can compute a plan for thousands of trucks and that significant fuel savings can be achieved.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 408-415 p.
Algorithms, Approximation algorithms, Automobiles, Fuel economy, Intelligent systems, Intelligent vehicle highway systems, Monte Carlo methods, Optimization, Transportation, Trucks, Clustering problems, First order, Fuel model, Fuel optimal, Fuel savings, Optimal plan, Optimization problems, Partitioning around medoids, Fuels
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-181130DOI: 10.1109/ITSC.2015.75ISI: 000376668800068ScopusID: 2-s2.0-84950272607ISBN: 9781467365956ISBN: 9781467365956ISBN: 9781467365956ISBN: 9781467365956OAI: oai:DiVA.org:kth-181130DiVA: diva2:901808
18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015, 15 September 2015 through 18 September 2015
QC 201602092016-02-092016-01-292016-06-27Bibliographically approved