论文标题
使用UAV视频数据对后侵占时间和信号定时之间的关系进行建模
Modelling the Relationship Between Post Encroachment Time and Signal Timings Using UAV Video data
论文作者
论文摘要
相交的安全通常依赖于信号相分和正时参数的正确建模。黄色时间或红色时间的略有增加可能会对后端崩溃或冲突产生重大影响。本文旨在确定替代安全措施与信号相分子之间的关系。无人机(UAV)视频数据已用于研究交叉点。从视频数据以及速度,标题和相关信号正时参数(例如所有红色时间,红色清除时间,黄色时间等)计算出车辆之间的侵占时间(PET)。使用随机参数排序的logit模型来建模PET与这些信号时序参数之间的关系。总体而言,结果表明,黄色时间和红色清除时间与宠物呈正相关。该模型还能够衡量某些可能是潜在安全危害的信号阶段,并且需要通过考虑宠物来重述。这些模型的几率比还表明,将黄色和红色清除时间增加一秒钟可以分别提高宠物水平16%和3%。
Intersection safety often relies on the correct modelling of signal phasing and timing parameters. A slight increase in yellow time or red time can have significant impact on the rear end crashes or conflicts. This paper aims to identify the relationship between surrogate safety measures and signal phasing. Unmanned Aerial Vehicle (UAV) video data has been used to study an intersection. Post Encroachment Time (PET) between vehicles was calculated from the video data as well as speed, heading and relevant signal timing parameters such as all red time, red clearance time, yellow time, etc. Random Parameter Ordered Logit Model was used to model the relationship between PET and these signal timing parameters. Overall, the results showed that yellow time and red clearance time is positively related to PETs. The model was also able to idendity certain signal phases that could be a potential safety hazard and would need to be retimed by considering the PETs. The odds ratios from the models also indicates that increasing the yellow and red clearance times by one second can improve the PET levels by 16% and 3% respectively.