7 citations · 7 across the 5 of their papers we have counts for
5 papers
Urban Vibrancy Embedding and Application on Traffic Prediction
Sumin Han, Jisun An, Dongman Lee
Urban vibrancy reflects the dynamic human activity within urban spaces and is often measured using mobile data that captures floating population trends. This study proposes a novel…
Multiple Areal Feature Aware Transportation Demand Prediction
Sumin Han, Jisun An, Youngjun Park +3
A reliable short-term transportation demand prediction supports the authorities in improving the capability of systems by optimizing schedules, adjusting fleet sizes, and generatin…
Spatio-Temporal Road Traffic Prediction using Real-time Regional Knowledge
Sumin Han, Jisun An, Dongman Lee
For traffic prediction in transportation services such as car-sharing and ride-hailing, mid-term road traffic prediction (within a few hours) is considered essential. However, the…
Improving Real Estate Appraisal with POI Integration and Areal Embedding
Sumin Han, Youngjun Park, Sonia Sabir +2
Despite advancements in real estate appraisal methods, this study primarily focuses on two pivotal challenges. Firstly, we explore the often-underestimated impact of Points of Inte…
Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis
Sumin Han, Youngjun Park, Minji Lee +2
Traffic prediction is one of the key elements to ensure the safety and convenience of citizens. Existing traffic prediction models primarily focus on deep learning architectures to…