Traffic information data recovery method and device

Abstract

The invention discloses a traffic information data recovery method and a traffic information data recovery device, and relates to a traffic information technology. In the embodiment of the invention, firstly, a related road with large relevancy with a target road is determined and then a regression coefficient is determined according to historical traffic information data of the target road and the related road, so that when real-time data of the target road is missed or is inaccurate, traffic information data of the target road in a current time period can be determined by the traffic information data of the related road with the largest relevancy and the regression coefficient of the target road and the related roads; and the traffic information data of the target road is determined by the mode, so that the filling of real-time traffic flow missing data and the correction of the real-time data can be implemented and the integrity and the accuracy of traffic information publishing are also improved.

Description

technical field [0001] The invention relates to traffic information technology, in particular to a method and device for restoring traffic information data. Background technique [0002] With the acceleration of urbanization and the improvement of residents' income level, the number of motor vehicles has increased significantly, resulting in increasingly severe urban traffic congestion, which has become a problem that plagues urban development. [0003] Traffic information service, as a part of Advanced Traffic Information System (ATIS), has become one of the main methods to solve the problem of traffic congestion. Traffic information is divided into two categories according to the timeliness of the published content, one is static traffic information, and the other is dynamic traffic information. Since static traffic information cannot provide accurate and fast services for travelers, it is difficult to meet the real-time service needs of users. The dynamic real-time traf...

AI Technical Summary

Problems solved by technology

[0007] This method compensates for the missing data through the change trend of traffic parameters, but the change trend of traffic parameters only represents the curve change trend of traffic parameters over time, and the traffic trend will also appear when the values ​​of two road traffic parameters are greatly different In a similar situation, using the data of these roads for compensation, the gap between the obtained compensation value and the true value is relatively large

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