A car-following model of CAVs integrating state information from multiple leading and single following vehicles. [PDF]
Chen Y, Cheng G.
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Design and implementation of a low-cost mobile robot prototype for trajectory tracking and robotic swarm tasks in research and educational applications. [PDF]
Minaya DAP +3 more
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Enhancing Mixed Traffic Flow with Platoon Control and Lane Management for Connected and Autonomous Vehicles. [PDF]
Peng Y +5 more
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A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles. [PDF]
Kibriya H +5 more
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Research on Dynamic Trajectory Planning Based on Model Predictive Theory for Complex Driving Scenarios. [PDF]
Li H, Pang H, Xia H, Huang Y, Zeng X.
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Extended Cooperative Adaptive Cruise Control
2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014In this paper the Cooperative Adaptive Cruise Control strategy for vehicles platooning is extended to the case when each vehicle can communicate with a subset of vehicles in the fleet. The control objective is to guarantee that the fleet moves forward with a given spacing policy at the leader velocity.
Umberto Montanaro +5 more
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Cooperative Adaptive Cruise Control
Transportation Research Record: Journal of the Transportation Research Board, 2015Cooperative adaptive cruise control (CACC) includes multiple concepts of communication-enabled vehicle following and speed control. Definitions and classifications are presented to help clarify the distinctions between types of automated vehicle-following control that are often conflated with each other.
Steven E. Shladover +3 more
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Cooperative Adaptive Cruise Control: A Field Experiment
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020In this study, a Human-in-the-Platoon CACC (HiP-CACC) controller is proposed for connected and automated vehicles to “include” human drivers into platooning process. The goal is to form a platoon between automated vehicles and human drivers so that turbulences caused by human drivers could be smoothed out by automated vehicles.
Yiming Zhang, Jia Hu, Zhizhou Wu
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