Video-based intersection area traffic parameter statistical method

Abstract

The invention discloses a video-based intersection area traffic parameter statistics method. The method comprises five main stages of vehicle detection, user demand judgment, online traffic parameterstatistics, offline traffic parameter statistics, information sending and redundant information deletion. According to the invention, the traffic parameter statistical data from the video and based onthe cellular transmission model can be provided according to different online and offline requirements of the user. According to the method, manual statistics is replaced by mode identification and computer rapid statistics, the problems that manual statistics data is not adaptive to intersection state estimation, timeliness cannot be guaranteed and the like are solved, efficiency is improved, and cost is saved. Data support can be provided for traffic state monitoring, traffic state estimation, traffic state prediction, induction type traffic control, traffic travel analysis and traffic flowrule analysis, and offline statistical traffic parameter data can also be used for land utilization and traffic facility use condition analysis.

Description

technical field [0001] The invention belongs to the field of intelligent traffic systems, and in particular relates to a video-based statistical method for traffic parameters in an intersection area. Background technique [0002] Intersections are intersections of multiple traffic flows in urban roads, and smooth traffic at an intersection can effectively improve the traffic efficiency of multiple roads. The construction of new traffic facilities requires a lot of time and capital investment, which cannot quickly make up for the gap in traffic demand. At the same time, because drivers cannot get timely information on road congestion, the degree of congestion on some roads is aggravated, and some traffic settings are left idle. The intelligent transportation system uses sensors in the system, such as geomagnetic coils, cameras, radars, etc., to quickly obtain various data in the road traffic system. The efficient analysis of such online data will serve traffic state identific...

AI Technical Summary

Problems solved by technology

[0004] At present, for short-term traffic state estimation, prediction problems and long-term congestion problems, the cellular transfer model can give satisfactory answers, but the current statistical methods for traffic parameters do not divide regions according to the basic conditions of the cellular transfer model And collect data, which is not conducive to the application of the element in the intersection range

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