公路交通事件检测研究综述

Research on Highway Traffic Incident Detection

交通事件检测算法是交通事件检测系统的核心组成部分,合适的检测算法对于及时处理交通事件来说至关重要.为了促进公路交通事件检测的研究,系统地梳理了传统间接交通事件检测方法的代表性算法的优缺点;对一些前沿交通事件检测方法的研究进行了综述,包括基于人工神经网络的交通事件检测算法、基于视频检测技术的交通事件检测方法、基于小波变换的交通事件检测算法、基于SVM的交通事件检测算法和基于多源信息融合的交通事件检测方法,并展望了未来交通事件检测算法的研究方向.

The traffic incident detection algorithms are a core part of the traffic incident detection system, and appropriate detection algorithms are crucial for the timely handling of traffic incidents. In order to promote the research of road traffic incidents detection, this paper systematically analyzed the advantages and disadvantages of the representative algorithms of traditional indirect traffic incident detection methods;this paper also reviewed some cutting-edge research of traffic incident detection methods, including traffic incident detection algorithms based on artificial neural network, video detection technology, wavelet transform, SVM as well as multi-source information fusion. The findings of this research can guide the development of traffic event detection algorithms in the future.