TY  - JOUR
PY  - 2021//
TI  - Traffic safety evaluation and accident prediction of freeway: evidence from China
JO  - Tehnicki Vjesnik
A1  - Xiong, Hongjun
A1  - Shen*, Yi
A1  - Fu, Liyou
SP  - 1904
EP  - 1911
VL  - 28
IS  - 6
N2  - In recent years, freeway safety accidents occurred frequently, causing serious harm to people's lives and property safety. Therefore, how to evaluate freeway traffic safety and predict the number of accidents scientifically is a practical problem to be solved. The influencing factors of freeway traffic safety could be summarized as human behaviour characteristics, vehicle factors, road factors, environmental factors and traffic safety factors after a systematic analysis. To evaluate traffic safety and predicate freeway accident, using the data of Zhejiang province, China from 2015 to 2019, a freeway safety evaluation system was constructed. The freeway safety level was measured by using hierarchical entropy method, and the future traffic accidents in the sample area were predicted by using the Autoregressive Integrated Moving Average (ARIMA) model. <br><br>RESULTS show that the traffic safety level of freeway in the sample areas presents a fluctuating upward trend, and has a relatively safe state with a safety level 2. The average error rate is only 0.47% in the predication of freeway accident, showing a high degree of fitting and accuracy. Based on the above conclusions, this study puts forward the corresponding improvement strategies to provide a scientific basis for the decision-making of the government and transportation departments.<p />  <p>Language: en</p>
LA  - en
SN  - 1330-3651
UR  - http://dx.doi.org/10.17559/TV-20210504115608
ID  - ref1
ER  -