Abstract—Through the establishment of highway road accident causation model, combined with trans-department sources of information, this paper analyses the data requirements and forecasting processes of the road traffic safety propensity. Introduces AID-one of the commonly used accident prediction methods, and build the model of accidents prediction, also analyses the model fitting workflow.

Index Terms—Traffic safety, propensity prediction, trans-department, road safety, model fitting workflow.

The authors are with the State Key Laboratory of Rail Traffic Control and Safety and School of Traffic and Transportation, Beijing Jiaotong University Beijing, 100044, China (e-mail: zhxywyh@126.comcatalpapril@gmail.com, huanqinchenchen@126.com).

Cite: Yanhui Wang, Zi Wang, and Chenchen Zhang, "Research of Method of Propensity Prediction for Road Traffic Safety Based on Trans-Department Information," International Journal of Computer and Communication Engineering vol. 1, no. 4, pp. 379-382 , 2012.