A Prioritization Model for the Immunization of Accident Prone Using Multi-criteria Decision Methods and Fuzzy Hierarchy Algorithm

Suburban accidents are more significant than intercity accidents in terms of both material and spiritual damages due to the vehicle’s high velocity. Based on the statistics, the mortality rate in suburban routes accounts for more than 69% of total casualties caused by accidents in Iran. In this study, it has been attempted to determine a model for assessing and prioritizing the immunization of accident prone sections of Qazvin-Abyek-Zanjan highway using various methods such as economic analysis, accidents intensity (RSI), Bayesian probability in accident prediction, AHP-GIS and AHP-Fuzzy. The results showed that the ranking of the accident prone sections’ correction is affected by the type of pattern and indicators used to assess the safety of the sections. Finally, with the implementation of fuzzy hierarchy algorithm, using the survey of safty specialists and determining the weights of input factors to the model by the expert choice (EC) software and fuzzy function, a comprehensive model is presented for assessing and prioritizing the correction of incidental events. According to the model’s acheivements, Buin Zahra-Rahim Abad three way with BSIP index of 0.596 meets the highest correction prioritization among the different sections, while Qazvin-Buin Zahra section has the lowest one with the BSIP index value of 0.148

کلیدواژه ها:

Immunization ، Correction potential ، Accidents intensity index ، Multi-criteria decision making ، Fuzzy hierarchy algorithm