Therefore, this paper deals with a multi-regression
model to predict road traffic fatalities and examine the
significant factors of road traffic safety. In this paper, the data
from 2002-2012 Annual Statistics of Road Traffic Accidents in
China (ASRTAC) are collected to model the correlation of road
traffic fatalities with a set of factors (i.e. vehicle park, roadway
lane-miles, total number of licensed drivers, Gross Domestic
Product, number of traffic fines and number of serious traffic
accident), which in return, the proposed model can be used to
predict the road traffic deaths in future years. In this work, we
show how the Multi-Regression (MR) method is performed to
predict the road traffic accident deaths with a set of related
factors. Then, hypothesis testing is used to examine the
significance of the proposed model and each item.