Video-based measurement and data analysis of traffic flow on urban expressways  

作　　者：Xian-Qing Zheng Zheng Wu Shi-Xiong Xu Ming-Min Guo Zhan-Xi Lin Ying-Ying Zhang 

机构地区：[1]Department of Mechanics and Engineering Science, Fudan University, 200433 Shanghai, China

出　　处：《Acta Mechanica Sinica》2011年第3期346-353,共8页力学学报（英文版）

基　　金：supported by the National Natural Science Foundation of China (10772050)

摘　　要：A new video-based measurement is proposed to collect and investigate traffic flow parameters. The output of the measurement is velocity-headway distance data pairs. Because density can be directly acquired by the reciprocal of headway distance, the data pairs have the advantage of better simultaneity than those from common detectors. By now, over 33 000 pairs of data have been collected from two road sections in the cities of Shanghai and Zhengzhou. Through analyzing the video files recording traffic movements on urban expressways, the following issues are studied：laws of vehicle velocity changing with headway distance, proportions of di0erent driving behaviors in the traffic system, and characteristics of traffic flow in snowy days. The results show that the real road traffic is very complex, and factors such as location and climate need to be taken into consideration in the formation of traffic flow models.A new video-based measurement is proposed to collect and investigate traffic flow parameters. The output of the measurement is velocity-headway distance data pairs. Because density can be directly acquired by the reciprocal of headway distance, the data pairs have the advantage of better simultaneity than those from common detectors. By now, over 33 000 pairs of data have been collected from two road sections in the cities of Shanghai and Zhengzhou. Through analyzing the video files recording traffic movements on urban expressways, the following issues are studied：laws of vehicle velocity changing with headway distance, proportions of di0erent driving behaviors in the traffic system, and characteristics of traffic flow in snowy days. The results show that the real road traffic is very complex, and factors such as location and climate need to be taken into consideration in the formation of traffic flow models.

关 键 词：Traffic flow mode - Video-based - Vehicle recog- nition. Driving behavior - Snowy day traffic 

分 类 号：U491.112[交通运输工程—交通运输规划与管理] TU984.191[交通运输工程—道路与铁道工程]