A Method for Modeling of Pedestrian Flow in the Space with Obstacles using Laser Range Scanners

The measurement of the pedestrians’ movement has high utility, because many efficient services can be provided for pedestrians with the measurement data. There are some techniques to measure pedestrian traffic and especially the method to measure pedestrian traffic with laser range scanners attracts considerable attention recently. However, the lines of sights of the laser range scanners are obscured by obstacles. Therefore, it is difficult to completely capture all the pedestrians’ movement in the target area. In this paper, we propose a method that estimates pedestrian traffic from sectional population density instead of individual pedestrians’ data. Our method also generates pedestrians flow. We have evaluated the proposed method with ideal scenario data. The experimental results have shown that our method could reproduce pedestrian traffic with about 80% accuracy.