Abstract:

To quantitatively evaluate the safety of pedestrian crossing and to quantify the risk degree of traffic conflicts between crossing pedestrian and vehicle at signalized intersection, this paper conducted the risk degree model of crossing pedestrian and vehicle based on the features of pedestrian crossing behavior and the theory of conflict. The SOMK clustering algorithm based on the fuzzy cluster analysis method is used. Evaluation analysis process and results of risk degree model is demonstrated in the case studies of six signalized intersections in Nanjing City of China with the manual data collection method on video, which gives acquisition and calculation method of the evaluation indexes of TTC, PET, DST and validates the practicality of proposed model. The result shows that three indexes (TTC, PET, DST) play a significant role in clustering analysis and the frequency and severity of conflicts differs according to different types of conflict.

Key words: traffic engineering, risk degree model, SOMK algorithm, crossing-road pedestrian, safety evaluation

摘要：

为定量评价信号交叉口行人过街安全性，量化过街行人与机动车冲突的严重程度，从过街行人行为特征出发，基于模糊聚类的SOMK聚类算法，提出信号交叉口过街行人与机动车冲突危险度模型。以南京市6个信号交叉口为例，采用基于视频的人工观测法采集高峰时刻行人与机动车冲突数据，给出TTC、PET、DST等评价指标的获取和计算方法，阐明交叉口行人过街冲突危险度的分析过程。结果表明，TTC、PET、DST三个指标变量对于聚类分析都起到明显作用，不同类型冲突的发生频率及其严重程度存在差异性。

关键词: 交通工程, 危险度模型, SOMK算法, 行人过街, 安全评价