ConnAT - Connecting Austria
Road freight transportation demand will further increase in the coming years. This leads to challenges for the freight sector such as steadily increasing energy consumption and the coping with limited traffic system capacity. One answer to these challenges is cooperative vehicle platooning. Related state-of-the-art vehicle automation technologies can increase traffic throughput, improve road safety, and reduce fuel consumption.
We developed a holistic distributed control concept to enable tight vehicle spacing and efficient platoon maneuvers with the option of utilizing vehicle-to-vehicle communication while providing collision safety at all times. This innovative platoon control architecture combines trajectory optimization and local model-predictive control of each vehicle.
The maneuver-specific reference trajectories for each platooning vehicle are optimized and communicated by the Platoon Coordinator. Each vehicle is locally controlled by model-predictive control (MPC) that incorporates the information received from the Platoon Coordinator. The MPC law is specifically formulated so that a safe stop in case of a sudden emergency braking maneuver of the preceding car is always possible. Also, communicated predictions and agreements among neighboring platooning vehicles are carefully considered to improve efficiency. The proposed concept remains highly scalable due to its distributed control structure. The local MPC is further enhanced by innovations to reduce safely realizable vehicle spacing and increase communication efficiency.
The proposed control concepts are validated via realistic co-simulations of high-fidelity vehicle dynamics for the exemplary case of truck platooning. Therefore, each individual vehicle is simulated by IPG TruckMaker®, while MATLAB® provides the simulation environment and Simulink® is used as communication interface between the individual vehicle instances. Additionally, a real-time-capable driving simulator was developed to allow human drivers to test the implemented control concepts in a human-in-the-loop setting.
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Please visit the project video on this exciting topic!
Safety-extended Explicit MPC for Autonomous Truck Platooning on Varying Road Conditions, opens an external URL in a new window
A. Schirrer et al., IFAC World Congress 2020 (2020)
Efficient Methods to Assess Linear and Non-Linear Automotive Platoon Control Stability and Performance, opens an external URL in a new window
C. Kalteis et al., Proceedings of the International Conference on Structural Dynamic, EURODYN (2020)
Safe and Efficient Cooperative Platooning, opens an external URL in a new window
S. Thormann, A. Schirrer, S. Jakubek, IEEE Transactions on Intelligent Transportation Systems (2020)
A Probability-Based Short-Term Velocity Prediction Method for Energy-Efficient Cruise Control, opens an external URL in a new window
A. Wasserburger et al., IEEE Transactions on Vehicular Technology (2020)
String Stable and Collision-Safe Model Predictive Platoon Control, opens an external URL in a new window
A.L. Gratzer et al., IEEE Transactions on Intelligent Transportation Systems (2022)
Energy-Efficient and Semi-Automated Truck Platooning Research and Evaluation, opens an external URL in a new window
A. Schirrer et al., Lecture Notes in Intelligent Transportation and Infrastructure (2022)
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January 2018 - December 2020