한국ITS학회 2023년도 추계학술대회

Geonmin presented his work on the transit-induced commercial gentrification at the 2023 Korea Institute of ITS Fall Conference. In this work, he identified the factors causing business closures in the process of transit-induced commercial gentrification. His work won the outstanding poster award at the undergraduate session.

This study proposes a system that can compensate for the disruption of traffic flow in other directions that occurs when the emergency vehicle priority signal system maintains a green signal for an emergency vehicle. After passing the emergency vehicle, the system estimates the queue in each direction of the intersection, calculates the weight of pedestrian signals based on pedestrian volume, and adjusts the signals by considering both this weight and the vehicle queue. 

This study proposes a Cycle Generative Adversarial Network(CycleGAN)-based road facility defect image generation and augmentation technique using road facility image data provided by the Korea Intelligence and Information Society Agency.

In this study, we compared and analyzed models for predicting demand based on daily rental data of public bicycles provided by the Seoul Metropolitan Government. We aimed to identify the model with the most proficient predictive model by employing machine learning methodologies and comparing the results. 

This study analyzes the results of a satisfaction survey on micro EVs sharing program and determines the factors that affect micro EVs sharing program users' satisfaction