Fast Algorithm for Planning Optimal Platoon Speeds on Highway
2014 (English)In: Proceedings of the 19th IFAC World Congress, 2014, International Federation of Automatic Control , 2014Conference paper (Other (popular science, discussion, etc.))
To meet policy requirements on increased transport energy eciency and reduced emissions, smart control and management of vehicles and eets have become important for the development of eco-friendly intelligent transportation systems (ITS). The emergence of new information and communication technologies and their applications, particularly vehicle to vehicle and vehicle-to-infrastructure communication, facilitates the implementation of autonomous vehicle concepts, and meanwhile serves as an eective means for control of vehicle eet by continuously providing support and guidance to drivers. While convoy driving of trucks by longitudinal automation could save 5-15% of fuel consumption due to the reduction of airdrag resistance, this study attempts to investigate the energy saving potential of truck platoons by intelligent speed planning. Assuming that real-time trac information is available because of communication, an ecient speed control algorithm is proposed based on optimal control theory. The method is faster than the conventional dynamic programming approach and hence applied in the study to analyze energy saving potential of simple platoon operations including acceleration and deceleration. The numerical result shows signicant improvement on energy saving due to speed planning during platooning. It can be further applied for more complex platooning operations.
Place, publisher, year, edition, pages
International Federation of Automatic Control , 2014.
, World Congress, ISSN 1474-6670 ; Volume19 | Part 1
Platooning operations, speed planning, acceleration and deceleration, adaptive cruise control, optimization
IdentifiersURN: urn:nbn:se:kth:diva-154520ISBN: 978-3-902823-62-5OAI: oai:DiVA.org:kth-154520DiVA: diva2:757248
The 19th World Congress of the International Federation of Automatic Control,24 to 29 August 2014, Cape Town, South Africa
QC 201411072014-10-212014-10-212015-01-29Bibliographically approved