Abstract
Road traffic safety is a major problem, especially in low-and middle-income countries. This study attempted to evaluate traffic safety based on the concept of intrinsic safety, which can provide theoretical support for the road traffic management departments. The evaluation weight calculation about the pre-weight of the second level evaluation index based on the information entropy, and then calculates the final weight by combing qualitative and quantitative methods. The weight of the third level evaluation index using the triangular fuzzy number method. In order to verify the effectiveness and feasibility of the method via a case study. by computing the proportions of evaluation indexes based on the model, we found that the ranking is intrinsic human>intrinsic road and environment>intrinsic vehicle. However, the gap about the proportion of the three is small. Furthermore, the sub factors ranking influencing factors as follows: the human's alertness = road and the environment’s completeness>vehicle’s technical>human’s self-consciousness >natural conditions >vehicle’s maintenance. Given the objectivity of the model in the paper, especially using the entropy weight method to calculate the weight of the index factors. The result of the evaluation for the model is similar with current situation of road traffic safety, thus, it can be taken as a valuable reference to promoting the traffic safety. So it can provide theoretical basis for urban road transport departments to formulate relevant policies.
Highlights
As the degree of motorization increase, improving traffic safety has become a main goal of transportation researchers across the world
There are a large number of domestic and foreign experts or scholars who have been studying deeply on traffic safety, but they worked in most cases on their own specific road safety problems, to a large extent because the socioeconomic conditions, the motorization levels, and the road safety experiences are different from country to country and from region to region
The paper combined with information entropy to determine the index weight evaluation method based on triangular fuzzy number, and applies it to the nature of traffic safety evaluation, reduce the interference of subjective factors too much, Different from the traditional the third indexes, which focus on the characteristics of the second indexes, the number of the third indexes in the study is a few but its scope is generally fairly comprehensive. the essence of improving road safety evaluation index that affect the ranking on the level of road traffic safety and provide technical support and theoretical support for the positive [1]-[6]
Summary
As the degree of motorization increase, improving traffic safety has become a main goal of transportation researchers across the world. There are a large number of domestic and foreign experts or scholars who have been studying deeply on traffic safety, but they worked in most cases on their own specific road safety problems, to a large extent because the socioeconomic conditions, the motorization levels, and the road safety experiences are different from country to country and from region to region. There are a large number of domestic and foreign experts or scholars who have been studying extensively on traffic safety R J Smeed in University of London established a Smeed model about ownership of motor vehicles based on population and the number of road deaths in 1949; Solomon used vehicle speed to evaluate road traffic safety in 1964; Grazawa established an urban Traffic Safety Evaluation System with a relatively wide layered structure. The paper combined with information entropy to determine the index weight evaluation method based on triangular fuzzy number, and applies it to the nature of traffic safety evaluation, reduce the interference of subjective factors too much, Different from the traditional the third indexes, which focus on the characteristics of the second indexes, the number of the third indexes in the study is a few but its scope is generally fairly comprehensive. the essence of improving road safety evaluation index that affect the ranking on the level of road traffic safety and provide technical support and theoretical support for the positive [1]-[6]
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