Road traffic state identification method and device

Abstract

The invention discloses a road traffic state identification method, which comprises the following steps: generating a coverage simulation map layer of a specific area through coverage forecast simulation; carrying out overlay analysis on the coverage simulation map layer and a road to be identified to obtain a base station cell switching sequence of the road to be identified; determining movement trace sequence of each user according to the obtained mobile phone signaling data of each user within a specific time period in the specific area; calculating similarity between the movement trace sequence of each user and the base station cell switching sequence of the road to be identified, and recording the number of users, the similarity of which is larger than a preset threshold value; and identifying the traffic state of the road to be identified with the specific time period according to the number of the users. The invention also provides a road traffic state identification device. The road traffic state identification method and device can realize traffic state high-precision identification of the road to be identified; and computation complexity is low, and cost is low.

Description

technical field [0001] The invention relates to the fields of mobile communication technology and GIS technology, in particular to a road traffic state identification method and device. Background technique [0002] With the continuous development of cities and the acceleration of urbanization, the increasing traffic congestion will affect the normal performance of urban functions. In order to alleviate the situation of urban traffic congestion, the construction of intelligent transportation systems is imminent. In the intelligent transportation system, the collection of traffic data is closely related to the identification of traffic status, and is an important part of the system. [0003] At present, the identification of road traffic status based on mobile phone signaling data usually requires a heavy on-site road test to establish a switching road network calibration database, and then match the user's mobile phone communication switching sequence with it to identify the...

AI Technical Summary

Problems solved by technology

In the process of implementing the present invention, the inventor found that the existing road traffic state recognition method has the following disadvantages: 1. The road network calibration is too complicated and the cost is high; 2. Due to the dense and intricate factors of the urban road network, for parallel or similar The interference on the road section is serious, so it takes multiple tests to find the most stable handover sequence. However, even if multiple tests are used, there will still be some errors; at the same time, choosing a stable handover sequence will exclude some base stations with coverage on the road. Thus losing some user data

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