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

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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.