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Collision Avoidance Strategy Supported by LTE-V-Based Vehicle Automation and Communication Systems for Car Following

机译:基于LTE-V的车辆自动化和通信系统支持的碰撞避免策略

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摘要

We analyzed and improved a collision avoidance strategy, which was supported by Long Term Evolution-Vehicle (LTE-V)-based Vehicle-to-Vehicle (V2V) 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.
机译:我们分析和改进了碰撞避免策略,该策略由基于自动车辆的长期演化车辆(LTE-V)基车辆(LTE-V)通信支持。这项工作分两步完成。在第一步中,我们分析了消息传输时间的概率分布,其是传输距离和车辆密度的条件。我们的分析表明,传输时间呈近线性增加,距离和密度。我们还量化了高/低资源重选概率之间的权衡,以改善媒体访问参数的设置。在第二步中,我们根据响应时间,即根据责任敏感安全性的新概念(RSS)来研究所需的安全距离。通过考虑响应时间的不确定性及其对车辆距离和密度的依赖性,我们改进了策略。我们进行了理论分析和数值测试,以说明改进的鲁棒RSS策略的有效性。我们的成果提高了与保留的特殊通道建立无人驾驶高速公路的实用性,保留用于LTE-V车辆的专用。

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