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Collision Avoidance Strategy Supported by LTE-V-Based Vehicle Automation and Communication Systems for Car Following
Institution:Department of Mathematics, Tsinghua University, Beijing 100084, China;Beijing National Research Center for Information Science and Technology(BNRist), Department of Automation, Tsinghua University, Beijing 100084, China;Tsinghua-Berkeley Shenzhen Institute(TBSI), Shenzhen 518055, China;Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies,Nanjing 210096, China;Beijing Nebula Link Tech.Co.Ltd,Beijing 100080, China;Network Technology Research Institute, China Unicom, Beijing 100044, China
Abstract:We analyzed and improved a collision avoidance strategy, which was supported by Long Term EvolutionVehicle(LTE-V)-based Vehicle-to-Vehicle(V2 V) communication, for automated vehicles. This work was completed in two steps. In the first step, we analyzed the probability distribution of message transmission time, which was conditional on transmission distance and vehicle density. Our analysis revealed that transmission time exhibited a near-linear increase with distance and density. We also quantified the trade-off between high/low resource reselection probabilities to improve the setting of media access parameters. In the second step, we studied the required safety distance in accordance with the response time, i.e., the transmission time, derived on the basis of a novel concept of Responsibility-Sensitive Safety(RSS). We improved the strategy by considering the uncertainty of response time and its dependence on vehicle distance and density. We performed theoretical analysis and numerical testing to illustrate the effectiveness of the improved robust RSS strategy. Our results enhance the practicability of building driverless highways with special lanes reserved for the exclusive use of LTE-V vehicles.
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