TY - CONF
T1 - CReTS-Co-simulation Framework for Control, Communication and Traffic for Vehicle Platoons
AU - Ibrahim, Amr
AU - Belagal Math, Chetan
AU - Goswami, Dip
AU - Basten, A.A. (Twan)
AU - Li, Hong
N1 - Conference code: 6
PY - 2019
Y1 - 2019
N2 - Vehicle platooning has gained attention for its potential to achieve an increased road capacity and safety, and a higher fuel efficiency. Member vehicles of a platoon wirelessly communicate complying with industrial standards such as IEEE 802.11p. By exchanging information with other members via wireless communication, a platoon member computes its desired acceleration which is then passed on to the engine control system via in-vehicle network to physically realize the acceleration. This leads to a multi-layer control scheme. The upper-layer is influenced by the behavior of 802.11p communication and network congestion due to transmissions by other vehicles in the traffic. The lower-layer engine control loop communicates over the fast and reliable in-vehiclenetworks (e.g., FlexRay, Ethernet). Design of the overall system therefore dependson (i) the characteristics of 802.11p-based communication (ii) the nature of the traffic (iii) the control algorithms running at the two layers. We present CReTS -- a co-simulation framework consisting of Matlab (for the multi-layer control algorithms), ns-3 (for the 802.11p network) and SUMO (for the traffic behavior). CReTS can be used to validate different platooning setups. As an illustrative case study, we consider a multi-layer control strategy where the upper-layer uses Model Predictive Control (MPC) at a rate in compliance with IEEE 802.11p and the lower-layer uses state feedback control at a higher sampling rate in line with in-vehicle networking capabilities. The control strategy is evaluated considering various realistic traffic and network congestion scenarios.
AB - Vehicle platooning has gained attention for its potential to achieve an increased road capacity and safety, and a higher fuel efficiency. Member vehicles of a platoon wirelessly communicate complying with industrial standards such as IEEE 802.11p. By exchanging information with other members via wireless communication, a platoon member computes its desired acceleration which is then passed on to the engine control system via in-vehicle network to physically realize the acceleration. This leads to a multi-layer control scheme. The upper-layer is influenced by the behavior of 802.11p communication and network congestion due to transmissions by other vehicles in the traffic. The lower-layer engine control loop communicates over the fast and reliable in-vehiclenetworks (e.g., FlexRay, Ethernet). Design of the overall system therefore dependson (i) the characteristics of 802.11p-based communication (ii) the nature of the traffic (iii) the control algorithms running at the two layers. We present CReTS -- a co-simulation framework consisting of Matlab (for the multi-layer control algorithms), ns-3 (for the 802.11p network) and SUMO (for the traffic behavior). CReTS can be used to validate different platooning setups. As an illustrative case study, we consider a multi-layer control strategy where the upper-layer uses Model Predictive Control (MPC) at a rate in compliance with IEEE 802.11p and the lower-layer uses state feedback control at a higher sampling rate in line with in-vehicle networking capabilities. The control strategy is evaluated considering various realistic traffic and network congestion scenarios.
UR - https://www.mariecuriealumni.eu/mcaa-events/2019-mcaa-general-assembly-annual-conference
M3 - Poster
T2 - 6th Marie Curie Alumni Association Annual Conference, MCAA 2019
Y2 - 24 February 2019 through 25 February 2019
ER -