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Information Journal Paper

Title

ACCIDENT PREDICTION MODEL ON CURVES FOR TWO-LANE RURAL ROAD

Pages

  213-221

Abstract

 A review of data on road accident shows that approximately 50-60% of accidents occur on two lane rural roads. The other surveys reveal that half of these accidents happen on the road curves. It is very important that designers pay special attention to this matter. Road network has an important role for the transportation and carriage of goods and safe passage of vehicles. It is important to design a road according to guidelines of geometric designs of roads, with particular emphasis on safety. This research work has led to introduction of models for prediction of road accident on curves on two lane rural roads. This is a step forward for determining the location of accident black spots. A vast and through literature review was carried out to investigate factors affecting the road accident. Parameters, which had the most effect, were identified as geometry of road, radius of curvature, super elevation, curve length and sight distance. Accident data were collected for Khorasan province in Iran, data collected were analyzed and models were developed, the models were checked and calibrated for parameters mentioned above. The results obtained show that models are valid for identifying the accident black spot on two lane rural roads.

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  • Cite

    APA: Copy

    SAFAARZADEH, MAHMOUD, SHAABANI, SH., & AZARMI, A.. (2007). ACCIDENT PREDICTION MODEL ON CURVES FOR TWO-LANE RURAL ROAD. JOURNAL OF TRANSPORTATION RESEARCH, 4(3), 213-221. SID. https://sid.ir/paper/83581/en

    Vancouver: Copy

    SAFAARZADEH MAHMOUD, SHAABANI SH., AZARMI A.. ACCIDENT PREDICTION MODEL ON CURVES FOR TWO-LANE RURAL ROAD. JOURNAL OF TRANSPORTATION RESEARCH[Internet]. 2007;4(3):213-221. Available from: https://sid.ir/paper/83581/en

    IEEE: Copy

    MAHMOUD SAFAARZADEH, SH. SHAABANI, and A. AZARMI, “ACCIDENT PREDICTION MODEL ON CURVES FOR TWO-LANE RURAL ROAD,” JOURNAL OF TRANSPORTATION RESEARCH, vol. 4, no. 3, pp. 213–221, 2007, [Online]. Available: https://sid.ir/paper/83581/en

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