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
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
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