基于电子抓拍数据的交通违法行为影响因素研究

Research on Influencing Factors of Traffic Violations Based on Electronic Capture Data

为有针对性地减少交通违法行为,搜集2016年德阳市机动车交通违法行为电子抓拍数据,提取交通违法行为频次、车辆特征,以及时空分布特征,构建交通违法行为多项Logit模型,确定显著影响因素,并提出相应的干预措施.结果显示,超速、违法停车、不按规定导向车道行驶、违反禁止标线为高频交通违法行为;车型、车辆归属地及时空情景因素对四种高频交通违法行为具有不同程度的影响.

In order to reduce traffic violations in a targeted way,electronic capture data of motor vehicle traffic violations of Deyang City in 2016 were collected.Traffic violations frequency,vehicle characteristics and spatial-temporal distribution characteristics were extracted,and multiple Logit models of traffic violations were constructed.Moreover,significant influencing factors were determined,and corresponding intervention measures were proposed.The results show that speeding,illegal parking,not driving in accordance with the regulations and violating the forbidden marking are high frequency traffic violations.Vehicle type,vehicle location and time-space situational factors have different impacts on four kinds of high-frequency traffic violations.The above results excavate the space-time situational influencing factors of high-frequency traffic violations and provide a new perspective for traffic violations intervention.