شماره ركورد :
15355
عنوان به زبان ديگر :
Accident Prediction Model Based on Traffic and Geometric Design Characteristics
پديد آورندگان :
Saffarzadeh Mahmoud نويسنده , Pooryari Maghsoud نويسنده
از صفحه :
112
تا صفحه :
119
تعداد صفحه :
8
چكيده لاتين :
This paper specifies the relationship among various factors contributing to road accidents including geometrical design characteristics, environmental and traffic specifications, by multiple regression analysis. The main objective of this paper is identification of problems associated with the safety issue of road networks by application of accident prediction models. Data from previous accidents were used to develop the models. Results of this study showed that the rate of road accidents is to a large extent dependent on the rate of traffic volume. Type of road and land-use are other important factors influencing the number and intensity of accidents. The mountainous roads in this respect require special attention regarding their safety factors. The quantitative rate of road safety upgrading has also been specified by adding traffic lanes in road networks
شماره مدرك :
1199054
لينک به اين مدرک :
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