Optimizing countermeasures for promoting road safety based on economic considerations

Document Type : Original Article

Authors

1 Research Assistant, Shahid Bahonar University of Kerman

2 Shahid Bahonar University o Kerman- Civil Engineering Department

3 Economic Department, Shahid Bahonar University of Kerman

10.22034/tri.2023.397044.3154

Abstract

Many individuals have been affected physically and socially as a result of road crashes. Many of these incidents have irreversible consequences. An immediate solution to improve road safety must be developed. This paper examines the issue of inadequate budget allocations by road departments for road safety. With a budget that does not meet ideal requirements, maintaining an extensive road network poses a challenge. This paper proposes an economic model for improving rural road safety, considering its importance. To minimize costs and reduce road casualties, the proposed model takes into account a number of factors, including the geometric conditions of the roads, relevant information, and the economic conditions of the community. In order to improve road safety, the study employs an integer programming model. In this approach, road geometry, relevant data, and economic considerations are examined in order to implement appropriate safety solutions. This paper discusses safety improvement strategies based on calculated probabilities of implementing them. These probabilities are determined using the Naive Bayes method. In addition to the geometric aspects of the roads, the best method for improving road safety is also considered in the economic model. Validation of the model is based on a case study conducted in Kerman province. The unique characteristics of each rural road in a country can be considered when implementing safety measures. The proposed method is used to accomplish this. As a result of the results, four safety solutions were identified as the most suitable in the Anar-Rafsanjan area, including road lighting, vibrating grooves, guardrails, and repairing damage and unevenness.

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