Discomfort-ride map for personal mobility passengers on sidewalks area

摘要

Personal mobility devices such as wheelchairs, bicycles, and compact cars are used in daily life and to runs on sidewalks. However, there are several factors that may lead to discomfort rides, such as steps, slopes, and crowded sidewalks for a passenger. This paper proposes a system that detects the factors using smartphone attached to the personal mobility device and generates a discomfort-ride map including the environment and human factors and their rating on sidewalks. In the experiment, steps (static danger factor) and the dynamic moving obstacles like human, bicycle, and car (dynamic danger factors) were estimated with attached smartphone's acceleration sensor and camera. After the process of collecting these data, verification for generating the hazard map system based on these data. Moreover, the versatility of using the proposed hazard map system for different personal mobility devices was tested with the electric wheelchair and the bicycle.