ITSC 2025 Paper Abstract

Paper TH-EA-T19.1

Ng, Hui Zhi (KAIST), Lim, Jaehyuck (Korea Advanced Institute of Science and Technology), Oh, Taeho (Korea Advanced Institute of Science and Technology), Kim, Inhi (Korea Advanced Institute of Science and Technology)

E-Scooter Alarm Warning System for Pothole Detection: A Simulation Study

Scheduled for presentation during the Invited Session "S19b-Artificial Transportation Systems and Simulation" (TH-EA-T19), Thursday, November 20, 2025, 13:30−13:50, Surfers Paradise 1

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Keywords Sensor Integration and Calibration for Accurate Localization in Dynamic Road Conditions, Human-Machine Interaction Systems for Enhanced Driver Assistance and Safety, Shared and Electric Mobility Services in Public Transport Networks

Abstract

E-scooters have been widely adopted in developed countries in recent years, receiving public recognition for their convenience and flexibility in the cities. As such, it serves as a popular transportation mode for the last mile transit and short-distance travelling, alongside e-bikes. However, concerns about the safety of the e-scooters arise as many reported e-scooter accidents took place, resulting in injuries and trauma. As a result, the mortality rate associated with e-scooters remains a global concern. The decline in e-scooter ridership due to the safety issues shall be combated to gain the trust of the riders. This simulation study suggests implementing an alarm warning sensor on e-scooters to alert riders to upcoming potholes, thereby smoothing their journey and enhancing rider safety while reducing rider anxiety. This experiment aims to find the optimal sensor distance fitting to rider response, offering sufficient time to react without causing excessive swerving or braking. This distance was found to be effective across various rider profiles, including those with more aggressive riding behaviors, resulting in safer and more controlled reactions. Additionally, a moderate positive correlation was observed between rider aggressiveness and perceived safety, suggesting that more assertive riders may feel safer despite engaging in riskier behaviors.