Pedestrian’s Avoidance Behavior Characteristics Against Autonomous Personal Mobility Vehicles for Smooth Avoidance

Autonomous personal mobility vehicles (PMVs), such as electric wheelchairs, are meant to drive through pedestrian spaces. Cooperative pedestrian avoidance by PMVs is necessary in these spaces to maintain smooth traffic. Previous studies suggested that PMVs can avoid pedestrians on a shorter path without compromising each other’s acceptability. This avoidance can be realized by understanding how pedestrians react to the behavior of PMVs and considering those characteristics in the autonomous navigation of PMVs. In this study, the characteristics of pedestrian’s avoidance behavior were investigated. Experiments were conducted to understand the influence of the parameters of the PMV’s avoidance behavior on pedestrians. Results showed that the angular velocity of the PMV during avoidance affects the pedestrian’s avoidance width and tolerance against the PMV’s behavior. These results suggest that it is possible to avoid pedestrians in smaller avoidance spaces by controlling the angular velocity of the PMV and maintaining smooth traffic.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2024-08-19
DOI
https://doi.org/10.20965/jrm.2024.p0918
Citations
1
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.34

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article

Pedestrian’s Avoidance Behavior Characteristics Against Autonomous Personal Mobility Vehicles for Smooth Avoidance

Hiroshi Yoshitake, Motoki Shino, Ryunosuke Harada
1 citations
Journal of Robotics and Mechatronics
Evacuation and Crowd Dynamics
0.34
article

Pedestrian’s Avoidance Behavior Characteristics Against Autonomous Personal Mobility Vehicles for Smooth Avoidance

Hiroshi Yoshitake, Motoki Shino, Ryunosuke Harada
article en
1 citations

Abstract

Autonomous personal mobility vehicles (PMVs), such as electric wheelchairs, are meant to drive through pedestrian spaces. Cooperative pedestrian avoidance by PMVs is necessary in these spaces to maintain smooth traffic. Previous studies suggested that PMVs can avoid pedestrians on a shorter path without compromising each other’s acceptability. This avoidance can be realized by understanding how pedestrians react to the behavior of PMVs and considering those characteristics in the autonomous navigation of PMVs. In this study, the characteristics of pedestrian’s avoidance behavior were investigated. Experiments were conducted to understand the influence of the parameters of the PMV’s avoidance behavior on pedestrians. Results showed that the angular velocity of the PMV during avoidance affects the pedestrian’s avoidance width and tolerance against the PMV’s behavior. These results suggest that it is possible to avoid pedestrians in smaller avoidance spaces by controlling the angular velocity of the PMV and maintaining smooth traffic.

Journal of Robotics and MechatronicsVol. 36(4)
Tokyo Institute of Technology (JP), The University of Tokyo (JP)
New Energy and Industrial Technology Development Organization
Sustainable cities and communities
Openalex Percentile: Top 42%
Evacuation and Crowd Dynamics
0.34
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