Computer and Communication Systems (Lehrstuhl für Technische Informatik) A Simulation Tool for Automated Platooning in Mixed Highway Scenarios Michele Segata ∗† , Falko Dressler ∗ , Renato Lo Cigno † , Mario Gerla ‡ ∗ Institute of Computer Science, University of Innsbruck, Austria † Dept. of Information Engineering and Computer Science, University of Trento, Italy ‡ Dept. of Computer Science, University of California, Los Angeles <segata@ccs-labs.org>
Motivation Simulation framework Evaluation Summary Introduction Aims of platooning ◮ Solve traffic congestion problems ◮ Decrease pollution ◮ Increase safety ◮ Decrease severe injuries/deaths Source: http://www.path.berkeley.edu Current solutions ◮ Mainly totally automated (e.g., California PATH project) ◮ Recent change of perspective (SARTRE project) Segata, Dressler, Lo Cigno, Gerla A Simulation Tool for Automated Platooning in Mixed Highway Scenarios 2
Motivation Simulation framework Evaluation Summary Motivation What is missing? ◮ Network protocols for the management of platoons in mixed highways ◮ Create, join, merge, split, leave, etc. ◮ Testing environments (simulators) Our proposal ◮ A simulation framework for platooning ◮ Simulate realistic traffic scenarios ◮ Simulate realistic wireless communications Segata, Dressler, Lo Cigno, Gerla A Simulation Tool for Automated Platooning in Mixed Highway Scenarios 3
Motivation Simulation framework Evaluation Summary Simulation framework Based on Veins which couples ◮ SUMO road traffic simulator ◮ OMNeT++ network simulator Necessary Changes ◮ Introduce a new car following model in SUMO ◮ Acts as human or as an automated controller ◮ Implements CC, ACC and CACC ◮ Extend Veins ◮ Access functionalities provided by the new model ◮ e.g., activateACC, setCCSpeed, etc Segata, Dressler, Lo Cigno, Gerla A Simulation Tool for Automated Platooning in Mixed Highway Scenarios 4
Motivation Simulation framework Evaluation Summary Simple Platooning Protocol Enter Join Follow Leave Segata, Dressler, Lo Cigno, Gerla A Simulation Tool for Automated Platooning in Mixed Highway Scenarios 5
Motivation Simulation framework Evaluation Summary Evaluation of the protocol 1.0 0.5 0.4 Probability Probability 0.3 0.5 0.2 0.1 0.0 0 1 2 3 4 5 6 1 2 3 4 5 6 7 8 Number of choices Platoon size Fig: Distribution of the number of known Fig: Distribution of platoon sizes platoons upon join failure Segata, Dressler, Lo Cigno, Gerla A Simulation Tool for Automated Platooning in Mixed Highway Scenarios 6
Motivation Simulation framework Evaluation Summary Conclusion Our contribution can be summarized as follows ◮ Development of a new simulation framework ◮ Simulate automated plus human driven cars ◮ Evaluate performances of platooning protocols Future work ◮ What is the best way to organize/manage platoons? ◮ How can we deal with the presence of human-driven cars? ◮ Can we really improve throughput/safety and reduce CO 2 emissions? Thank you for your attention! Segata, Dressler, Lo Cigno, Gerla A Simulation Tool for Automated Platooning in Mixed Highway Scenarios 7
Computer and Communication Systems (Lehrstuhl für Technische Informatik) A Simulation Tool for Automated Platooning in Mixed Highway Scenarios Michele Segata ∗† , Falko Dressler ∗ , Renato Lo Cigno † , Mario Gerla ‡ ∗ Institute of Computer Science, University of Innsbruck, Austria † Dept. of Information Engineering and Computer Science, University of Trento, Italy ‡ Dept. of Computer Science, University of California, Los Angeles <segata@ccs-labs.org>
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