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Information Journal Paper

Title

AN ANALYTICAL MODEL FOR THE DETERMINATION OF ROAD SAFETY INDEX

Pages

  29-40

Abstract

 In this paper, different variables affecting the rate of highway accidents were studied and a mathematical model for assessment of highway safety is proposed. Field data as well as necessary information was collected form about 580km of main roads including different classes and various terrain conditions throughout the country. The modeling process was followed using linear functions, based on the collected data from the variables. Comparing the correlation coefficients of these models, the Poisons Regression Model was perceived as the most appropriate one, which was then calibrated and verified using the information for a six-year period. The dependent variable was defined as an accident index, AI, representing the number of accidents and their severity. Formation of commercial and residential land uses by the roadside considerably increases the rate of accidents. Mountainous roads are thirteen times more dangerous than level roads moreover, increasing the rate of heavy vehicles by 10%, will increase AI by 60%. Also changing the function of a two-lane highway to a onelane results in a decrease of AI by 60%. Addition of one lane to the roadway, and increasing its shoulder width by one meter will improve SAFETY INDEX by 50 and 60 percent, respectively.

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  • Cite

    APA: Copy

    SASFARZADEH, M., & POURYARI, M.. (2006). AN ANALYTICAL MODEL FOR THE DETERMINATION OF ROAD SAFETY INDEX. MODARES TECHNICAL AND ENGINEERING, -(25), 29-40. SID. https://sid.ir/paper/25042/en

    Vancouver: Copy

    SASFARZADEH M., POURYARI M.. AN ANALYTICAL MODEL FOR THE DETERMINATION OF ROAD SAFETY INDEX. MODARES TECHNICAL AND ENGINEERING[Internet]. 2006;-(25):29-40. Available from: https://sid.ir/paper/25042/en

    IEEE: Copy

    M. SASFARZADEH, and M. POURYARI, “AN ANALYTICAL MODEL FOR THE DETERMINATION OF ROAD SAFETY INDEX,” MODARES TECHNICAL AND ENGINEERING, vol. -, no. 25, pp. 29–40, 2006, [Online]. Available: https://sid.ir/paper/25042/en

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