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An Analysis on the Causes of Head-on Collisions through Long-term Data Collection of Near Miss Incidents at Unsignalized Intersections

机译:通过在无罪交叉口近乎误区的长期数据收集来分析正面碰撞

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According to the latest Japanese collision statistics, head-on collisions are the second most frequent type of collision on all roads. Additionally, from the perspective of applying cooperative vehicle -highway technology, head-on collisions, to which it is difficult to provide standalone vehicle services, should be the first to consider. There are limits to employing existing countermeasures in reducing head-on collisions, and as the recognition becomes common that services to provide information just before a collision are more effective, research has been continued from last year on a feasible and easily diffusible approach for a head-on collision prevention support service for unsignalized intersections. As part of that research, this paper establishes hypotheses for the causes of head-on collisions and examines those hypotheses using collected data. Collecting near head-on collision data on actual roads during a long-term time frame has increased the amount of data and helped to improve the accuracy of the evaluation. This objective data regarding immediate pre -near miss incident circumstances will be used to clarify the factors of head-on collisions. Utilizing the collected data, an approach for a head-on collision prevention support service will also be presented.
机译:根据最新的日本碰撞统计数据,正面碰撞是所有道路上的第二种最常见的碰撞。此外,从应用协作车辆 - 高速公路技术的角度来看,难以提供独立车辆服务的正面碰撞,应该是第一个考虑的。采用现有对策在减少正面碰撞时存在限制,并且由于识别使得在碰撞之前提供信息的普遍性,因此研究已经从去年继续进行了一个可行的和容易扩散的头部 - 用于无罪化交集的碰撞预防支持服务。作为该研究的一部分,本文建立了正面碰撞原因的假设,并使用收集的数据检查这些假设。在长期时间框架期间在实际道路上收集近在咫尺的碰撞数据增加了数据量,并有助于提高评估的准确性。关于即时前期事项事件情况的目标数据将用于澄清正面碰撞的因素。利用收集的数据,还将呈现用于正常碰撞防护支持服务的方法。

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