Print Email Facebook Twitter Control of Platooned Vehicles in Presence of Traffic Shock Waves Title Control of Platooned Vehicles in Presence of Traffic Shock Waves Author Ibrahim, A. Cicic, M. Goswami, D. Basten, T. Johansson, K.H. Publication year 2019 Abstract 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. Subject DeteriorationFuel economyFuelsHighway traffic controlIntelligent systemsIntelligent vehicle highway systemsShock wavesVehicle actuated signalsBehavioral patternsMicroscopic modelsTraffic phenomenonTraffic simulatorsTraffic situationsV2V communicationsVehicle to vehiclesWireless communicationsVehicle to vehicle communications To reference this document use: http://resolver.tudelft.nl/uuid:eecce0a3-b9cb-4d92-80d0-a81d11816c4a DOI https://doi.org/10.1109/itsc.2019.8917389 TNO identifier 871934 Publisher Institute of Electrical and Electronics Engineers Inc. ISBN 9781538670248 Source 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 27 October 2019 through 30 October 2019, 1727-1734 Article number 8917389 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.