Road plane intersection traffic volume statistical method based on video multi-region marking

Abstract

The invention relates to a road plane intersection traffic volume statistical method based on video multi-region marking. The method comprises the following steps: collecting a road plane intersection video; marking the number of the marked area to obtain a road plane intersection marked area; setting a vehicle detection area; creating a road plane intersection traffic volume statistical general table; creating a marked area vehicle information table set; performing pretreatment; tracking the vehicle which is subjected to the vehicle calibration operation and obtains the vehicle number; performing in-and-out inspection operation; performing screening operation; filling the vehicle information and the marked area numbers into a road plane intersection traffic volume statistical general table; and outputting a road plane intersection traffic volume statistical general table. According to the invention, the working efficiency of road intersection traffic volume survey is improved, and the influence of subjective factors on survey results is eliminated; excessive computing resource consumption caused by extracting the whole-process driving track data of the vehicle is avoided, and the software implementation difficulty is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for statisticing traffic volume at road level intersections based on video multi-region marking. Background technique [0002] As an important node of urban traffic, intersection is a bottleneck point that affects the smooth flow of urban traffic. Road traffic diverges, merges and intersects frequently at level intersections, making the traffic conditions particularly complex. Urban traffic congestion is often manifested at intersections. Solving the problem of intersections will solve the key problems of urban traffic. The scientific and reasonable investigation of traffic volume at intersections can provide basic data for optimal design of intersections, and comprehensively grasp traffic conditions and problem symptoms. [0003] In the prior art, most of the traffic surveys at intersections are obtained through traditional manual field surveys, that...

AI Technical Summary

Problems solved by technology

[0006] 1. Due to the time-consuming, labor-intensive and labor-intensive manual survey methods in the prior art, and the need to carry out professional training for the staff in advance, subjective factors have a greater impact on the survey results, and the results are not completely objective and accurate;

[0007] 2. Because the manual survey method of the prior art has adopted a large number of artificial survey statistics for a long time, especially in the case of long-term continuous traffic volume survey, a large amount of economic cost is required;

[0008] 3. In the prior art, the intersection traffic volume survey method based on the video-based full vehicle trajectory data has a large demand for system computing power, and the implementation method is complicated, which leads to high development costs and many system bugs, which further makes the application promotion to a lesser extent

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