Evaluation of the Factors Influencing the Pedestrian Road Accident in the City and Providing a Model for Predicting the Accident (Case Study: Zanjan)

Document Type : Original Article

Authors

1 Assistant Professor, Transportation Department, Faculty of Engineering, Payam Noor University of Tehran, Tehran, Iran.

2 Ph.D., Student of Civil Engineering Transportation Branch، Kish International Branch, Islamic Azad University, Kish Island, Iran.

Abstract

Increasing the level of safety in the road transport sector has always been one of the most important issues in the transportation system. In the national transport industry, the outsourcing industry always has the highest casualties. By identifying the safety indicators and the points of the extra-urban accident and increasing their level of safety, the percentage of losses and losses can be greatly reduced. Research for modeling human performance has led to the creation of two new research fields, neural networks and fuzzy systems. Neural networks are dynamic systems that, by simulating the functioning of the nervous system and the human brain by processing on experimental data, transfer knowledge or law beyond the data to the network structure, and relying on the ability to learn and ability parallel processing is capable of solving complex problems. Fuzzy systems, based on the approximate human decision-making process, are quantitatively and intuitively modeled quantitative, and thus they are trying to deal with uncertainties. The simplicity and comprehensiveness of this method are its advantages. Neuro-fuzzy systems combine two methods of parallel learning and processing of neural networks and approximate fuzzy inference. In this research, a neuro-fuzzy recurrence network is designed to predict the number of accidents. Then, the genetic algorithm is proposed for a new method in the training of this network and compared to them.

Keywords

Main Subjects

References

-"آیین­نامه ایمنی راه­های کشور"، (1382)، انتشارات مرکز تحقیقات وزارت راه و ترابری.
-حسن پور، ش. حسنعلی پور، س. و خسروی، م.، (1394)، "بررسی و ارزیابی عملکرد سیستم­های حمل ونقل هوشمند"، کنفرانس ملی مهندسی عمران و محیط زیست، زنجان، معاونت پژوهشی دانشکده مهندسی عمران و نقشه برداری دانشگاه آزاد اسلامی زنجان.
-Jadaan, Khair S., Muaath Al-Fayyad, and Hala F. Gammoh., (2014), "Prediction of Road Traffic Accidents in Jordan using Artificial Neural Network (ANN)­". Journal of Traffic and Logistics Engineering 2.2.
 
-Olutayo, V. A., and A. A. Eludire., (2014), "Traffic accident analysis using decision trees and neural networks", International Journal of Information Technology and Computer Science (IJITCS) 6.2, 22.
-Sharma, Bharti, Vinod Kumar Katiyar, and Kranti Kumar, (2016), "Traffic Accident Prediction Model Using Support Vector Machines with Gaussian Kernel", Proceedings of Fifth International Conference on Soft Computing for Problem Solving, Springer Singapore.
-Zeng, Qiang, and Helai Huang, (2014), "Bayesian spatial joint modeling of traffic crashes on an urban road network", Accident Analysis & Prevention 67 pp.105-112.

Files

Share

How to cite

Statistics