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Found 5 papers, 1 papers with code
Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control
This paper demonstrates that the acceleration/deceleration limits in ACC systems can make a string stable ACC amplify the speed perturbation in natural driving.
Fundamental Diagrams of Commercial Adaptive Cruise Control: Worldwide Experimental Evidence
Experimental measurements on commercial adaptive cruise control (ACC) vehicles \RoundTwo{are} becoming increasingly available from around the world, providing an unprecedented opportunity to study the traffic flow characteristics that arise from this technology.
Significance of Low-level Controller for String Stability under Adaptive Cruise Control
Current commercial adaptive cruise control (ACC) systems consist of an upper-level planner controller that decides the optimal trajectory that should be followed, and a low-level controller in charge of sending the gas/brake signals to the mechanical system to actually move the vehicle.
Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
Notably, we found that no control (i. e. random policy) can be an effective control strategy for a surprisingly large family of networks.
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion
Some suggestions towards congestion mitigation for future mMP studies are proposed: i) enrich data collection to facilitate the congestion learning, ii) incorporate non-imitation learning methods to combine traffic efficiency into a safety-oriented technical route, and iii) integrate domain knowledge from the traditional car following (CF) theory to improve the string stability of mMP.
