Donghoun Lee

Assistant Professor

Sejong University

South Korea

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About

Donghoun Lee is an Assistant Professor at Sejong University, South Korea. His research areas focus on connected and automated vehicle technologies, with recent articles exploring topics such as driving safety systems, optimal road network extraction, and traffic predictive route guidance algorithms. He aims to enhance mobility services through innovative methodologies that consider operational design domains and regional characteristics.

Articles (10)

Year:

2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (2)

Seongjin Choi

Assistant Professor

University of Minnesota

UNITED STATES

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Jeongyun Kim

Assistant Professor

Seoul National University

SOUTH KOREA

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Donghoun Lee

Research Interests

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Articles (10)

Risk‐based maximum speed advisory system for driving safety of connected and automated bus

An Optimal Road Network Extraction Methodology for an Autonomous Driving-Based Demand-Responsive Transit Service Considering Operational Design Domains

Driving Safety Area Classification for Automated Vehicles Based on Data Augmentation Using Generative Models

Transfer Learning-Based Deep Reinforcement Learning Approach for Robust Route Guidance in Mixed Traffic Environment

Framework for Connected and Automated Bus Rapid Transit with Sectionalized Speed Guidance based on deep reinforcement learning: Field test in Sejong City

A Study on the Analysis of Spatial Characteristics with Respect to Regional Mobility Using Clustering Technique Based on Origin-Destination Mobility Data

Study on the Extraction Method of Sub-Network for Optimal Operation of Connected and Automated Vehicle-Based Mobility Service and Its Implication

Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service

Development of Reinforcement Learning-Based Traffic Predictive Route Guidance Algorithm Under Uncertain Traffic Environment

Development of Reinforcement Learning-Based Traffic Predictive Route Guidance Algorithm Under Uncertain Traffic Environment

Collaborators (2)

Seongjin Choi

Jeongyun Kim

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