Evaluation Method of Traffic Safety Improvement Effect Based on Accident Correction Coefficient Matching Technology

Abstract

The invention discloses a traffic safety improvement effect evaluation method based on accident correction coefficient matching technology, which is used to assist the selection and decision-making of traffic safety improvement measures at level intersections, mainly including an accident correction coefficient selection module, an improvement benefit analysis module, and a cost-effective maximum chemical analysis module. The present invention matches the characteristic parameter of the accident correction coefficient with the characteristic parameter of the intersection where the accident occurred, selects the calculated value most suitable for the target intersection from numerous candidate values ​​of the accident correction coefficient, takes the life cycle benefit maximization as the objective function, and takes the improvement measure The type and starting time of improvement measures are decision variables, which help decision makers choose the optimal improvement measures scientifically and efficiently.

Description

technical field [0001] The invention belongs to the field of traffic safety, in particular to a method for evaluating the traffic safety improvement effect of level intersections based on accident correction coefficient matching technology. Background technique [0002] The accident prediction equation at level intersections is a regression equation established based on the number of accidents and traffic flow statistics at a series of intersections with similar characteristics. The dependent variable is the accident frequency, and the response variable is the primary and secondary road traffic flow. It is the most important and direct method for the evaluation of intersection traffic safety improvement design. Many scholars at home and abroad have conducted research on this, and have given different accident prediction models under different basic conditions for different types of intersections. The number of accidents in the model is assumed to obey the negative binomial d...

AI Technical Summary

Problems solved by technology

First of all, if the same improvement measures are used at different intersections, there are differences in their implementation effects, and such differences vary with different research objects

In addition, the CMF value is also affected by factors such as analysis methods, data sources, and sample size, and there are differences between the results obtained by different studies and their respective true values.

Due to the discrepancy between the results of different studies, it is difficult to determine which CMF value should be selected for the pre-evaluation of traffic safety improvement effects

In engineering practice, subjective judgments are often made based on the experience of the designer, resulting in a large difference between the implementation effect and the theoretical expectation

Images