Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—This study describes a microscopic simulation model considering the interaction between a personal transporter and multiple pedestrians and proposed an avoidance assistance system using the concept of personal space, which is the space in which invasion by others induces a psychological strain. The simulation was examined under the condition that the personal transporter traveling toward pedestrian flow under different conditions of road width and different pedestrian densities. To evaluate the mutual effects of a personal transporter on nearby pedestrians, the invasion ratio and crossing time were introduced as evaluation indexes. The simulation results reveal that the effectiveness of the assistance system was clearly confirmed. In particular, the personal transporter equipped with the assistance system had invasion ratio and crossing time lower than those of the personal transporter without such system.
Index Terms—avoidance assistance system, personal transporter, personal space, pedestrian, simulation
Cite: Pham Quoc Thai, "Investigation of Avoidance Assistance System for the Driver of a Personal Transporter Using Personal Space: A Simulation Based Study," International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 2, pp. 254-259, March 2019. DOI: 10.18178/ijmerr.8.2.254-259
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