Traffic evaluation method and system

Abstract

The invention relates to a traffic evaluation method which comprises the following steps: importing map data, floating car data and mobile phone base station positioning data, and carrying out organization and management to acquire basic data; establishing a reliability evaluation model; and carrying out data fusion on the basic data through the reliability evaluation model to acquire traffic integrated information. The traffic evaluation method and system establish the reliability evaluation model of the road network based on the floating car data and the mobile phone base station positioning data, have the advantages of large data volume, high quality and good space-time characteristics, effectively overcome the defects of high cost, few samples, poor quality and poor timeliness in the traditional method, and accurately acquire the traffic integrated information with large covering area and strong practicability under the action of the reliability evaluation model, thereby accurately reflecting the distribution and flow rules of the urban traffic flow.

Description

【Technical field】 [0001] The invention relates to computer technology, in particular to a traffic evaluation method and system. 【Background technique】 [0002] As one of the important carriers of the national economy, the stability of the urban road traffic network is directly related to the normal development of the national economy. Therefore, it is necessary to carry out traffic evaluation and analysis on it. In traditional traffic evaluation, the source of data generally has defects such as high data cost, limited sampling samples, long period, and poor data quality. However, the road network is a dynamic stochastic system in which the traffic supply side and the demand side interact. The travel distribution of vehicles and population has obvious randomness, and the inability to obtain the travel distribution characteristics of vehicles and population in the urban road network in real time and dynamically seriously restricts the accuracy of traditional traffic evaluation...

AI Technical Summary

Problems solved by technology

In traditional traffic evaluation, the source of data generally has defects such as high data cost, limited sampling samples, long period, and poor data quality. However, the road network is a dynamic stochastic system in which the traffic supply side and the demand side interact. The travel distribution of vehicles and population has obvious randomness, and the inability to dynamically obtain the travel distribution characteristics of vehicles and population in the urban road network in real time seriously restricts the accuracy of traditional traffic evaluation.

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