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Connecting Rural Road Design to Automated Vehicles: The Concept of Safe Speed to Overcome Human Errors

机译:将农村道路设计连接到自动化车辆:安全速度克服人类错误的概念

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The human-road-vehicle automated system is a challenge to overcome human errors. Several rural road crashes happen due to loss of friction, unlikely predictable by drivers. The friction diagram method (FDM) by the authors, described in previous papers, is able to evaluate the skidding risk taking into account vehicle, environmental, road factors. An important variable is the vehicle speed. According to the FDM, the speed corresponding to the maximum friction used can be computed. If all vehicles will travel at speeds lower than that, all other safety checks being verified, then the skidding risk can be reduced. Automated vehicles could travel at the safe speed predicted for each section, by acquiring all the necessary information directly from the road. The algorithm can be customized according to the particular vehicle, tires and road conditions. Additional remarks about the shift from traditional road design practice to the driving automation are also given.
机译:人道车辆自动化系统是克服人类错误的挑战。由于摩擦损失,几个农村公路崩溃,司机不太可能预测。作者的摩擦图方法(FDM)在先前的论文中描述,能够评估考虑车辆,环境,道路因素的滑行风险。一个重要的变量是车速。根据FDM,可以计算与使用的最大摩擦相对应的速度。如果所有车辆都会以低于此次的速度,则验证所有其他安全检查,则可以降低SPIDDing风险。通过直接从道路获取所有必要的信息,自动化车辆可以以预测的安全速度行进。该算法可以根据特定的车辆,轮胎和道路状况定制。还给出了关于从传统道路设计实践转向驾驶自动化的额外评论。

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