Control of Platooned Vehicles in Presence of Traffic Shock WavesShow others and affiliations
2019 (English)In: Proceedings 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 1727-1734Conference paper, Published paper (Refereed)
Abstract [en]
Vehicle platooning has been attracting attention recently because of its ability to improve road capacity, safety and fuel efficiency. Vehicles communicate using Vehicle-to- Vehicle (V2V) wireless communication, making their status (acceleration, position, etc.) available to other vehicles. Shock waves, i.e. zones of reduced traffic speed that propagate upstream, are a well known emergent traffic phenomenon. Since vehicles entering such a zone need to decelerate sharply, shock waves cause a deterioration of fuel economy, driving comfort, and safety. While typically caused by bad driving behavior, recent studies have shown that it is possible to diminish or dissipate shock waves by applying certain good driving behavioral patterns. In this work, we use the information about the traffic situation to adapt the reference speed profile of the platoon we control, in order to mitigate the effect of a shock wave coming from downstream. The platoon leader receives the velocity of the vehicles downstream of the platoon and distance gap between them using V2V communication and it computes the shock wave speed. We show that by doing this we reduce the fuel consumption of the vehicles in the platoon, and improve the traffic situation by helping dissipate the shock wave. We validate our results using microscopic models with the help of a toolchain composed of Matlab, and the SUMO traffic simulator.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 1727-1734
Keywords [en]
Deterioration, Fuel economy, Fuels, Highway traffic control, Intelligent systems, Intelligent vehicle highway systems, Shock waves, Vehicle actuated signals, Behavioral patterns, Microscopic models, Traffic phenomenon, Traffic simulators, Traffic situations, V2V communications, Vehicle to vehicles, Wireless communications, Vehicle to vehicle communications
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-268041DOI: 10.1109/ITSC.2019.8917389ISI: 000521238101121Scopus ID: 2-s2.0-85076823778OAI: oai:DiVA.org:kth-268041DiVA, id: diva2:1416175
Conference
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, October 27-30, 2019
Note
QC 20200322
Part of ISBN 9781538670248
2020-03-222020-03-222024-10-28Bibliographically approved