Method for calculating highway section average speed based on mobile phone signaling data

Abstract

The present invention provides a method for calculating a highway section average speed based on mobile phone signaling data. The method comprises a step of obtaining base station information and the GIS information of a target highway, and converting information into a coordinate, (2) gridding on a highway, and establishing the mapping relation between a base station and the highway, (3) carrying out section dividing according to the border cell corresponding projection point of a position area, (4) obtaining the mobile phone signaling data in several continuous time periods T, and constructing a user mobile trajectory, (5) carrying out road matching by using the similarity, motion direction and speed of a base station sequence in the user trajectory, and thus identifying a highway vehicle-borne mobile phone user, and (6) according to the highway vehicle-borne mobile phone user identified by the step (5) and the mapping table of the base station and a mapping point established in the step (2), calculating the travel speed vp of each vehicle-borne mobile phone in a road section i, and then calculating the average travel speed vi in the road section i. According to the method, the existing mobile network information is fully utilized so as to improve the accuracy of speed calculation, and a data support is provided for the low-cost, all-weather, large-range and real-time traffic state monitoring of the highway.

Description

Technical field [0001] The invention belongs to the technical field of data processing and traffic information, and relates to a method for calculating the average speed of a highway section based on mobile phone signaling data. Background technique [0002] With the rapid growth of the number of vehicles in my country, highway traffic operations are facing tremendous pressure. How to monitor the highway traffic status scientifically and effectively is an important basis for highway traffic management and control. Vehicle speed is one of the important indicators that characterize the traffic state, and it can provide data support for the correct identification of the traffic state. Therefore, how to automatically obtain an accurate and reliable average speed of vehicles on a road section by means of information is particularly important. [0003] At present, the detection methods of expressway vehicle speed mainly include induction coil detection, video detection and floating car ...

AI Technical Summary

Problems solved by technology

Among them, the vehicle speed in the handover event data method is calculated by the time and position of the adjacent handover events during the call of the mobile phone user, but it cannot be accurately calculated due to the difficulty of distinguishing the handover events, the easy misjudgment, and the small number of samples. vehicle speed

The vehicle speed of the LAC sequence method is calculated by using the signaling data generated when the mobile phone user's location is updated. However, considering that the expressway in a LAC is too long, it is difficult to collect traffic information on local road sections, which leads to the representation of the current high speed of the expressway. Reduced accuracy of actual traffic conditions on highways

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