Regional traffic safety evaluation method based on connectivity-based spatial weight matrix

Abstract

The invention discloses a regional traffic safety evaluation method based on a connectivity-based spatial weight matrix, and the regional traffic safety evaluation method belongs to the technical field of traffic safety. The regional traffic safety evaluation method comprises the steps of: firstly, acquiring relevant data of regional traffic safety evaluation through data investigation; secondly, establishing a Bayesian conditional autoregressive model, which regards a traffic analysis zone as a basic unit, as a regional accident risk prediction model, and establishing the spatial weight matrix which marks network connectivity by means of the number of paths contained in a region; and finally, carrying out model parameter estimation. The regional traffic safety evaluation method overcomes the problem that the model precision is not high because a traditional accident risk prediction model does not consider spatial relativity, the connectivity-based spatial weight matrix takes the influence of geographic dimensionality and actual traffic links between regions into account, the regional accident risk prediction model has good data fitting degree and data adaptability, and more significant factors associated with accident occurrence can be dug out, thereby effectively guiding practical application.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, in particular to a regional traffic safety evaluation method based on a connectivity space weight matrix. Background technique [0002] Road traffic safety is a worldwide issue related to human health and development. In recent years, regional traffic safety issues based on census areas and traffic analysis zones (Traffic Analysis Zone, TAZ) have begun to receive widespread attention from the society. The characteristics of various accidents, their influencing factors and injury mechanism urgently need in-depth research. By considering the relationship between various accidents and accident influencing factors, we can more comprehensively understand the regional safety level and accident hazards, and take corresponding measures to prevent them. In the event of an accident, the safety of life and property and the smooth flow of the road are guaranteed. The number of accidents is usually us...

AI Technical Summary

Problems solved by technology

In the evaluation of regional traffic safety, relying solely on the adjacency relationship or the distance kernel function cannot fully represent the interrelationships of the region. A more reasonable spatial weight matrix is ​​based on considering the geographical dimension and also considers the influence of other aspects, such as traffic volume , road capacity and travel mode, etc. Therefore, the limitation of the construction of the current spatial weight matrix is ​​still a technical problem that causes the accuracy of regional traffic safety evaluation to be low.

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