Motor vehicle out-driving OD matrix obtaining method based on video traffic detection data

Abstract

The invention discloses a motor vehicle out-driving OD matrix obtaining method based on video traffic detection data. The method comprises the steps of determining OD traffic cells, attributing video detectors to the OD traffic cells according to the mounting positions of the video detectors, building the corresponding relation among the video detectors, video detection points and the corresponding OD traffic cells, obtaining vehicle detection data of all the video detectors in the to-be-obtained OD matrix time interval in the geographic studying area, obtaining everyday OD matrixes in the time interval according to vehicle license plate numbers recognized by the video detectors and time of the video detection points, dividing the time interval into complete hour segments, comparing the vehicle license plate numbers and the time when vehicles pass through the vehicle detection points, obtaining everyday hour OD matrixes, and obtaining everyday peak hour OD matrixes. The method is simple, the result is visual, the out-driving exchange capacity between the traffic cells can be accurately and quantitatively reflected, and the basic input data can be provided for transportation planning and traffic impact assessment.

Description

technical field [0001] The invention belongs to the field of traffic planning, in particular to a motor vehicle travel OD matrix acquisition method based on video traffic detection data. Background technique [0002] The OD (ORIGIN-DESTINATION) matrix refers to the origin-destination matrix, also known as the OD table, which describes the number of trips between traffic areas, where: O represents the origin (Origin), and D represents the destination (Destination). The motor vehicle trip OD matrix describes the number of trips that people complete between traffic areas by means of motor vehicles. Motor vehicle travel OD matrix is ​​the basic data needed for traffic research and application practice. It can reflect the basic characteristics of urban residents' travel, analyze the crux of urban traffic, and reveal the relationship between traffic demand, land use, and economic activities. [0003] The traditional OD matrix acquisition method needs to conduct travel surveys of...

AI Technical Summary

Problems solved by technology

[0003] The traditional OD matrix acquisition method needs to conduct travel surveys of residents, which consume a lot of manpower, financial resources, material resources and time resources. The interval between each survey is several years, and the sampling rate is low, the accuracy of the statistical results is not high, and the OD cannot be reflected. The dynamic change of the matrix with the year, month and day, etc.

The OD matrix can also be obtained by inversely deriving the observed traffic volume of the road according to various models and algorithms. This method requires low cost, but there are problems such as low estimation accuracy of the OD matrix and difficulty in verifying the correctness of the estimation results.

With the popularity of mobile phones, using mobile phone information to obtain OD matrix is ​​a newly developed technology in recent years, but there are problems such as personal privacy and immature technology.

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