Detecting and positioning of traffic incidents via video-based analysis of traffic states in a road segment

作者：Ren, Jianqiang; Chen, Yangzhou^*; Xin, Le; Shi, Jianjun; Li, Baotong; Liu, Yinan

来源：IET Intelligent Transport Systems, 2016, 10(6): 428-437.

DOI：10.1049/iet-its.2015.0022

• traffic engineering computing
• video signal processing
• road accidents
• object detection
• road vehicles
• fuzzy set theory
• support vector machines
• image classification
• support vector machine classifier
• downstream neighbouring cells
• upstream neighbouring cells
• feature vector
• fuzzy-identification method
• traffic state distribution characteristics analysis
• video-based detecting method
• speedy congestion-evacuation
• timely incident-disposal
• early warning
• traffic congestion
• spilled loads

Non-recurrent traffic incidents (accidents, stalled vehicles and spilled loads) often bring about traffic congestion and even secondary accidents. Detecting and positioning them quickly and accurately has important significance for early warning, timely incident-disposal and speedy congestion-evacuation. This study proposes a video-based detecting and positioning method by analysing distribution characteristics of traffic states in a road segment. Each lane in the monitored segment is divided into a cluster of cells. Traffic parameters in each cell, including flow rate, average travel speed and average space occupancy, are obtained by detecting and tracking traffic objects (vehicles and spilled loads). On the basis of the parameters, traffic states in the cells are judged via a fuzzy-identification method. For each congested cell, a feature vector is constructed by taking its state together with states of its upstream and downstream neighbouring cells in the same lane. Then, a support vector machine classifier is trained to detect incident point. If a cell is judged to be corresponding to an incident point at least for two successive time periods, an incident is detected and its position is calculated based on the identity number of the cell. Experiments prove the efficiency and practicability of the proposed method.

• 出版日期2016-8
• 单位北京工业大学