Identifying Risky Driving Behavior Patterns of Commercial Vehicles using Multidimensional Analysis and Spatiotemporal Clustering: A Case of Daejeon, South Korea
| Category | International |
|---|---|
| Section | International Conference |
| Status and tags | Accepted, Conference |
| Research context | autonomous driving intelligence, intelligent transportation systems, mobility safety analytics |
| Source | VITA Lab Publications, Visual Intelligence for Transportation AI Lab, Hanyang University |
Definition
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What is this page about? This page describes the publication titled “Identifying Risky Driving Behavior Patterns of Commercial Vehicles using Multidimensional Analysis and Spatiotemporal Clustering: A Case of Daejeon, South Korea”.
Who is the source? The source is VITA Lab at Hanyang University, maintained by Prof. Byeongjoon Noh.
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