Street-crossing traffic identification and feature analysis method based on millimeter wave radar

Abstract

The invention belongs to the field of traffic transportation engineering, and provides a street-crossing traffic identification and feature analysis method based on millimeter wave radar. The method comprises the following steps of: 1, acquiring street-crossing traffic data by utilizing millimeter wave radar equipment, and uploading the data acquired by the radar to a server by virtue of a wireless communication module; 2, compiling and operating a program for receiving, processing and forwarding data at a server side to obtain trajectory data, and storing the trajectory data into a database; 3, solving the problem of confusion caused by timestamp overflow; 4, converting the trajectory data into a trajectory under a rectangular coordinate system; step 5, reducing measurement noise caused by the strongest reflection criterion by using a moving smoothing method; step 6, calculating feature indexes of each trajectory; 7, screening and removing non-crossing trajectoriesto obtain a crossing trajectory; step 8, identifying trajectory categories according to the feature indexes obtained in the step 6; and 9, counting the traffic volume and the average speed operation condition of various street-crossing traffics.

Description

technical field [0001] The invention belongs to the field of traffic and transportation engineering, in particular to a millimeter-wave radar-based identification and feature analysis method for crossing traffic. Background technique [0002] Pedestrian and non-motorized slow-moving traffic is the most basic mode of transportation for human beings. However, with the rapid development of motorization, the space for walking and other slow-moving traffic is constantly being compressed, and pedestrian traffic problems such as insufficient space facilities and conflicts with motor vehicles are becoming more and more prominent. . At present, with the development of social economy and the introduction of concepts such as "low carbon" and "sustainable", the safety and quality of slow traffic have attracted more and more attention. The management of slow-moving traffic has begun to receive attention and attention. Managers and scholars have studied "people-oriented" from various ang...

AI Technical Summary

Problems solved by technology

Existing methods of obtaining slow traffic crossing data are usually targeted surveys, which are often manual, which is not only time-consuming and labor-intensive, but also obtains incomplete data and poor accuracy

There are also video-based surveys, but these can be affected by weather or light, making the results less accurate

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