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Truck Platooning Based on Lead Vehicle Speed Profile Optimization and Artificial Physics

Luca Caltagirone (Institutionen för tillämpad mekanik, Fordonsteknik och autonoma system) ; Sina Torabi (Institutionen för tillämpad mekanik, Fordonsteknik och autonoma system) ; Mattias Wahde (Institutionen för tillämpad mekanik, Fordonsteknik och autonoma system)
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2015 Vol. 2015 October (2015), p. 394-399.
[Konferensbidrag, refereegranskat]

- Several approaches to truck platooning over varying road topographies are introduced, evaluated, and compared. A simple, stochastic optimization procedure was applied to the lead vehicle speed profiles (covering sections of 10 km), resulting in average lead vehicle fuel savings of around 15.4% relative to standard cruise control. Moreover, several models involving artificial physics were evaluated for the actual platooning, i.e. for the motion of the vehicles following the lead vehicle, with the aim of minimizing the total fuel consumption of the entire platoon. One such model, based on modified artificial gravity, was found to slightly outperform a more standard approach involving adaptive cruise control, while maintaining safety and coherence of the platoon.

Denna post skapades 2016-01-13. Senast ändrad 2017-08-25.
CPL Pubid: 230523


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Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Fordonsteknik och autonoma system (2010-2017)



Chalmers infrastruktur

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Fuel-Efficient Truck Platooning using Speed Profile Optimization