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Edward Chung

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Professor

The Hong Kong Polytechnic University

Hong Kong

Research Interests

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Professors in Artificial Intelligence

Recent Grants

Grant: Close

Key Technologies of Traffic Signal Control Evaluation-Diagnosis-Optimization Driven by Artificial Intelligence and Digital Twin

Open Date: 2024-10-01

Close Date: 2026-09-30

Grant: Close

Integrated Cooperative on-ramp Merging (InCoMe)

Open Date: 2021-01-01

Close Date: 2023-12-01

Grant: Close

(A novel integrated motorway management system for less congested, more reliable and safer motorways)

Open Date: 2012-01-01

Close Date: 2014-12-31

Grant: Close

(Internet of things testbed for creating a Smart City)

Open Date: 2012-01-01

Close Date: 2012-12-31

Grant: Close

Adaptive Learning Ensemble of Surrogate Models for Traffic Signal Optimisation in a Digital Twin (ALESO)

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Articles (20)

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2025

Collaborators (7)

SHUANG CHENG

University of Bath

UNITED KINGDOM

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Guillaume Sartoretti

Assistant Professor

National University of Singapore (NUS)

SINGAPORE

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Qixin Wang

Associate Professor

The Hong Kong Polytechnic University

HONG KONG

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Chenghong Gu

University of Bath

UNITED KINGDOM

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Chongyu Wang

Senior Research Associate

Illinois Institute of Technology

UNITED STATES

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Fushuan Wen

ESTONIA

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Weihua Gu

Associate Professor

The Hong Kong Polytechnic University

HONG KONG

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Edward Chung

Research Interests

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Recent Grants

Articles (20)

Integrating Large Language Models and Reinforcement Learning for Efficient Home Energy Management

Learning-Based Lane Selection and Driving Orders for Connected Automated Vehicles at Multi-Lane Freeway Merging Sections

Diffusion-Driven Hybrid Unknown Input Observer for Vehicle Dynamics Estimation

An End-to-End GPS-Based Traffic Speed Prediction Framework Without Explicit Map-Matching

Efficient Online Origin-Destination Prediction via a Knowledge-Driven Deep Learning Framework

Multi-Charging Station Pricing Strategy for Real-Time Congestion Management in Coupled Traffic-Power Networks

Rethinking the Utilization of Individual Rewards in Multiagent Reinforcement Learning With Sparse Team Rewards

SE-MARL: Stackelberg-Equilibrium-Based Multi-Agent Reinforcement Learning with Exact-Tabular Convergence Analysis for EV Charging Pricing and Scheduling

Interpretable Deep Reinforcement Learning With Imitative Expert Experience for Smart Charging of Electric Vehicles

Real-Time Planning of Route, Speed, and Charging for Electric Delivery Vehicles: A Deep Reinforcement Learning Approach

A CAV Cooperative Lane Change Protocol With CTH Safety Guarantee on Dedicated Highways

Lane level traffic flow prediction in urban networks with missing data — a time accessibility based multi-task learning framework

Pursuing Excellence in Intelligent Transportation Systems: A Personal Journey [Its People]

Solving connected automated vehicle merging problems: A generalized benders decomposition-based approach for mixed-integer nonlinear programming

Co-Optimization and Interpretability of Intelligent–Traditional Signal Control Based on Spatiotemporal Pressure Perception in Hybrid Control Scenarios

Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm

New formulations and solution approaches for train eco-driving problems

Origin–destination prediction via knowledge‐enhanced hybrid learning

Recent Estimation Techniques of Vehicle-Road-Pedestrian States for Traffic Safety: Comprehensive Review and Future Perspectives

An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization

Collaborators (7)

SHUANG CHENG

Guillaume Sartoretti

Qixin Wang

Chenghong Gu

Chongyu Wang

Fushuan Wen

Weihua Gu

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