چکیده مقاله
In the recent years, Prediction models of crash frequency have become a criterionfor accident rate and are remarkably considered in safety improvement plan Heavy vehicles are one of the main causes of accidents in the world as 1 of the 9accidents is involving them In this research, a prediction model was developedby using heavy vehicles accident data collected from Karaj Qazvin freeway Inthe model, important factors of occurrence of accident including climaticcondition, road surface condition, natural light condition, average vehicle speed,average daily traffic and 5 dangerous violations commitment were considered Poison regression and negative binomial regression models were applied formodeling purposes After evaluation of models, it concluded that factors such asnatural light condition, heavy vehicles daily volume, speed limit violation andvehicle defects especially in lighting system during darkness had great impact onheavy vehicles accident occurrence
کلیدواژهها
نویسندگان
Reza Imaninasab
Ph D student, Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Emad Sekhavati
MSc graduate, Department of Civil Engineering, KN Tossi university of Technology, Tehran, Iran
Mansour Hajihosseinloo
Professor Assistant, Department of Civil Engineering, KN Tossi university of Technology, Tehran, Iran
شیوه ارجاع
Imaninasab, Reza and Sekhavati, Emad and Hajihosseinloo, Mansour,1394,Modeling crash frequency of heavy vehicles in rural freeways,The 14th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک5 اسفند 1393 · تهران