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An Open Simulation Approach to Identify Chances and Limitations for Vulnerable Road User (VRU) Active Safety

机译:一种开放的模拟方法来识别弱势道路使用者(VRU)主动安全的机会和局限性

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Objective: It is commonly agreed that active safety will have a significant impact on reducing accident figures for pedestrians and probably also bicyclists. However, chances and limitations for active safety systems have only been derived based on accident data and the current state of the art, based on proprietary simulation models. The objective of this article is to investigate these chances and limitations by developing an open simulation model. Methods: This article introduces a simulation model, incorporating accident kinematics, driving dynamics, driver reaction times, pedestrian dynamics, performance parameters of different autonomous emergency braking (AEB) generations, as well as legal and logical limitations. The level of detail for available pedestrian accident data is limited. Relevant variables, especially timing of the pedestrian appearance and the pedestrian's moving speed, are estimated using assumptions. The model in this article uses the fact that a pedestrian and a vehicle in an accident must have been in the same spot at the same time and defines the impact position as a relevant accident parameter, which is usually available from accident data. The calculations done within the model identify the possible timing available for braking by an AEB system as well as the possible speed reduction for different accident scenarios as well as for different system configurations. Results: The simulation model identifies the lateral impact position of the pedestrian as a significant parameter for system performance, and the system layout is designed to brake when the accident becomes unavoidable by the vehicle driver. Scenarios with a pedestrian running from behind an obstruction are the most demanding scenarios and will very likely never be avoidable for all vehicle speeds due to physical limits. Scenarios with an unobstructed person walking will very likely be treatable for a wide speed range for next generation AEB systems.
机译:目标:人们普遍认为,主动安全将对减少行人以及骑自行车者的事故发生率产生重大影响。但是,主动安全系统的机会和局限性仅基于事故数据和当前水平以及专有仿真模型得出。本文的目的是通过开发开放的仿真模型来研究这些机会和局限性。方法:本文介绍了一个仿真模型,该模型结合了事故运动学,驾驶动力学,驾驶员反应时间,行人动力学,不同一代自动紧急制动(AEB)的性能参数以及法律和逻辑限制。可用行人事故数据的详细程度受到限制。相关变量,尤其是行人出行的时机和行人的移动速度,是使用假设进行估算的。本文中的模型使用以下事实:事故中的行人和车辆必须同时在同一地点,并将碰撞位置定义为相关的事故参数,通常可以从事故数据中获得该参数。在模型中完成的计算确定了AEB系统可用于制动的可能正时,以及不同事故场景以及不同系统配置的可能减速。结果:仿真模型将行人的横向撞击位置确定为系统性能的重要参数,并且系统布局设计为在驾驶员无法避免事故时制动。要求行人从障碍物后面跑来跑去的场景是最苛刻的场景,由于物理限制,对于所有车速而言,都极有可能无法避免。对于下一代自动包围曝光系统,在很宽的速度范围内行走很畅通的情况很有可能得到解决。

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