Paper Info
Title
The Fuel-Efficient Platooning of Heavy Duty Vehicles by Mathematical Programming and Genetic Algorithm.
Abstract
As fuel accounts for a significant proportion of the total operational cost of heavy duty vehicles (HDVs) and to alleviate the environmental impacts, companies are seeking for novel practical methods to reduce fuel consumption. Platooning is an effective approach in which a string of HDVs driving close behind each other is formed. This reduces the aerodynamic drag leading to a reduction in the overall resistive force on vehicles which can provide an amount of fuel-saving in each of the following vehicles. These trivial reductions result in a considerable decrease in the total fuel consumption corresponding to all the vehicles. In this paper, we propose a mathematical model for the fuel-efficient platooning problem with a deadline for each vehicle ( truck) to reach its destination by then. We create a graph partly based on the German road network considering only 20 important cities and solve 50 instances including 10 to 50 trucks. The small samples are solved by the LINDO solver in real time but as the problem has a high computational complexity, a Genetic Algorithm is applied to obtain fast solutions of a good quality for larger instances. The final results show a satisfactory fuel-saving in all of the cases.
Year
DOI
Venue
2016
10.1007/978-3-319-49001-4_4
Lecture Notes in Computer Science
Keywords
DocType
Volume
HDV platooning,Fuel saving,Mathematical programming,Genetic algorithm
Conference
10071
ISSN
Citations 
PageRank 
0302-9743
2
0.40
References 
Authors
3
2
Name
Order
Citations
PageRank
Abtin Nourmohammadzadeh130.75
Sven Hartmann240942.86