交通流运行状态下道路交通风险评价方法

Road Traffic Risk Evaluation Method under Traffic Flow Operation State

精确的道路交通风险评价是实现道路交通风险预警及主动防控的基础。本文首先基于交通流运行数据对交通流运行状态下的风险驾驶行为进行识别并根据车辆运动属性计算得到了风险驾驶行为的行为强度;然后将待评价道路等距划分为80个待评价路段,完成了不同时空状态下的风险驾驶行为匹配,根据各路段风险驾驶行为强度分布差异,提出了基于K-means++算法的道路交通风险等级划分模型,用于交通流运行状态下的道路交通风险评价。

Accurate road traffic risk evaluation is the basis for realizing road traffic risk warning and active prevention and control. The paper firstly identifies the risky driving behavior under the traffic flow operation state based on the traffic flow operation data and calculates the behavior intensity of the risky driving behavior based on the vehicle movement attributes;then divides the road to be evaluated into 80 equal distance sections to be evaluated, completes the risky driving behavior matching under different spatial and temporal states, and proposes a model based on K-means++ algorithm-based road traffic risk classification model was proposed to realize the task of road traffic risk evaluation under the traffic flow operation state.