Seung Woo Ham

Spatiotemporal Demand Prediction Model for E-Scooter Sharing Services with Latent Feature and Deep Learning

Seung Woo Ham, Jung-Hoon Cho, Sangwoo Park et al. · Transportation Research Record Journal of the Transportation Research Board · 2021 · 61 citations · Full text

Management, Transportation Planning, Demand Forecasting +12

Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems using a Graph Convolutional Network with Public Transit Usage Data

Jung-Hoon Cho, Seung Woo Ham, Dong‐Kyu Kim · Transportation Research Record Journal of the Transportation Research Board · 2021 · 25 citations

Public Health, Data Science, Transportation Planning +17

Deep Multimodal Learning for Traffic Speed Estimation Combining Dedicated Short-Range Communication and Vehicle Detection System Data

Jin Hong Min, Seung Woo Ham, Dong‐Kyu Kim et al. · Transportation Research Record Journal of the Transportation Research Board · 2022 · 24 citations

Computing, Computer Science, Machine Learning +16

Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

Hyunsoo Yun, Eui-Jin Kim, Seung Woo Ham et al. · Journal of Intelligent Transportation Systems · 2022 · 16 citations

Management, Economics, Transportation Planning +16

A gentle introduction and tutorial on Deep Generative Models in transportation research

Seongjin Choi, Zhixiong Jin, Seung Woo Ham et al. · Transportation Research Part C Emerging Technologies · 2025 · 12 citations

Computing, Computer Science, Transportation Planning +12