Research on the analysis of emergency driving prevention factors using video data and an interactive illustration Petri net, anddevelopment on supporting of their measures

在松山南部消防队的救护车上搭载网络摄像机和GPS，提取紧急车辆的真实的行驶数据。接着，开发将这些数据再现到国家空间数据上的系统，通过颜色的分布和圆的大小来区分速度的分布和停止时间，从速度的下降和停止时间来精确定位行驶防止部分，并通过视频查看预防情况。开发了路口和路段运行速度自动提取系统，明确了路段和路口作为瓶颈路段的作用。并且能够定量地显示信号灯的蓝色和红色对行驶速度的影响很大，并且能够定量地和直观地显示FAST（紧急车辆抢占系统）的引入效果。

A Web camera and GPS were carried in the ambulance of the Matsuyama south fire department, and the real driving data of emergency vehicles was extracted on it. Next, by developing the system which reproduces those data on country spatial data, and distinguishing distribution and stop time of speed by distribution of a color, and the size of a circle, the driving prevention part was pinpointed from a fall and stop time of speed, and the prevention situation was checked from video. Furthermore, the system which extracts the running speed of a crossing and a link automatically was developed, and the link and crossing used as a bottleneck were clarified. And it was able to be shown quantitatively that the influence which the blue of a signal and red have on a driving speed is great, and the introductory effect of FAST (Emergency Vehicle Preemption Systems) was able to be shown quantitativelyand visually.