Road traffic jam ranking method and system based on signaling data

Abstract

The invention discloses a road traffic jam ranking method and a system based on signaling data, and belongs to the urban traffic state monitoring field. The road traffic jam ranking method comprises steps that the motion track of each user in the base station network according to the signaling data is extracted; a target route most similar to the motion track of each section in the road network isacquired; a plurality of road sections of each target route divided by the switching point of the base station are acquired, and the motion speeds of all users on each road section according to the length of the road section and the switching time of the base station are acquired; the vehicle speed of the motor vehicle according to the vehicle speed threshold of each road section in the target time period is acquired in a screened way, and the average vehicle speed of the motor vehicle is calculated; the free flow speed of each road section is acquired in order to calculate the traffic jam index of each road section in a target time period; the weighted average on the traffic jam indexes of all the road sections belonging to the same road is carried out according to the length of the roadsection so as to acquire the road traffic jam index; the road traffic jam is ranked according to the road traffic jam indexes. According to the invention, the urban traffic state detection can be realized with large range and low cost.

Description

technical field [0001] The invention belongs to the field of urban traffic state monitoring, and more specifically relates to a method and system for ranking road traffic congestion based on signaling data. Background technique [0002] Road traffic congestion ranking is a proven method to alleviate traffic congestion. The ranking of road traffic congestion relies on the monitoring of road traffic operation conditions. Urban traffic status monitoring can be divided into two types. The first type uses traditional roadside fixed sensors to monitor traffic conditions, and the other type is driven by big data. traffic monitoring. Among them, the fixed sensor devices on the roadside include road sensing coils, Bluetooth, RFID, speed cameras, etc., which can directly obtain accurate information about traffic parameters on road sections; however, the increase in the coverage of these sensors will bring about a substantial increase in equipment costs. Including equipment manufactu...

AI Technical Summary

Problems solved by technology

The coverage radius of the base station cell is about 100-500m in the urban area, and about 400-1000m in the suburban area. Therefore, the positioning accuracy based on the registered cell location in the signaling data is relatively rough and cannot be used for traffic monitoring.

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