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Dangerous Driving Behavior Recognition and Prevention Using an Autoregressive Time-Series Model 被引量:5
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作者 Hongxin Chen Shuo Feng +2 位作者 Xin Pei Zuo Zhang Danya Yao 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2017年第6期682-690,共9页
Time headway is an important index used in characterizing dangerous driving behaviors. This research focuses on the decreasing tendency of time headway and investigates its association with crash occurrence. An autore... Time headway is an important index used in characterizing dangerous driving behaviors. This research focuses on the decreasing tendency of time headway and investigates its association with crash occurrence. An autoregressive(AR) time-series model is improved and adopted to describe the dynamic variations of average daily time headway. Based on the model, a simple approach for dangerous driving behavior recognition is proposed with the aim of significantly decreasing headway. The effectivity of the proposed approach is validated by means of empirical data collected from a medium-sized city in northern China. Finally, a practical early-warning strategy focused on both the remaining life and low headway is proposed to remind drivers to pay attention to their driving behaviors and the possible occurrence of crash-related risks. 展开更多
关键词 time headway driving behavior traffic safety autoregressive time-series model remaining life driving warning strategy
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