Title :
A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning
Author :
Larson, J. ; Kuo-Yun Liang ; Johansson, K.H.
Author_Institution :
Math. & Comput. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
Abstract :
Heavy-duty vehicles (HDVs) traveling in single file with small intervehicle distances experience reduced aerodynamic drag and, therefore, have improved fuel economy. In this paper, we attempt to maximize the amount of fuel saved by coordinating platoon formation using a distributed network of controllers. These virtual controllers, placed at major intersections in a road network, help coordinate the velocity of approaching vehicles so they arrive at the junction simultaneously and can therefore platoon. This control is initiated only if the cost of forming the platoon is smaller than the savings incurred from platooning. In a large-scale simulation of the German Autobahn network, we observe that savings surpassing 5% when only a few thousand vehicles participate in the system. These results are corroborated by an analysis of real-world HDV data that show significant platooning opportunities currently exist, suggesting that a slightly invasive network of distributed controllers, such as the one proposed in this paper, can yield considerable savings.
Keywords :
automobiles; distributed control; intelligent transportation systems; network theory (graphs); road traffic control; German Autobahn network; aerodynamic drag reduction; coordinated heavy-duty vehicle platooning; distributed framework; fuel economy improvement; invasive distributed controller network; large-scale simulation; real-world HDV data; road network intersections; small-intervehicle distances; velocity coordination; virtual controllers; Europe; Fuels; Junctions; Roads; Vehicles; Automated highways; intelligent systems; road transportation;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2014.2320133