基于人群投票的交通冲突检测

Yan-Ru Pan, Bo-Hao Chen, Z. Lin, Hsiang-Yin Cbeng
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引用次数: 1

摘要

本文提出了一种基于投票的众包交通碰撞检测系统。与现有的交通避碰系统不同,该系统不考虑避碰问题。相反,它将交通碰撞视为一个检测问题,并提出一种人群投票策略来检测碰撞,从而缓解现实驾驶条件下事故造成的交通拥堵。我们在交通碰撞检测问题上的实验验证了该系统的显著准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic Collision Detection Using Crowd Voting
This paper presents a voting-based system via crowdsourcing for detecting traffic collision. The proposed system, as opposed to existing traffic collision avoidance systems, does not consider collision avoidance problem. Rather, it treats a traffic collision as a detection problem and poses a crowd voting strategy to detect collision and thereby alleviate traffic congestion caused by accidents in the real-world driving condition. Our experiments on traffic collision detection problem validate the significant accuracy of the proposed system.
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