Gongquan Zhang

Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections

Gongquan Zhang, Fangrong Chang, Jieling Jin et al. · Accident Analysis & Prevention · 2024 · 80 citations

Intelligent Traffic Management, Engineering, Concurrent Optimization +6

Impact of digitization and artificial intelligence on carbon emissions considering variable interaction and heterogeneity: An interpretable deep learning modeling framework

Gongquan Zhang, Shenglin Ma, Mingxing Zheng et al. · Sustainable Cities and Society · 2025 · 28 citations

Artificial Intelligence, Engineering, Environmental Impact Assessment +3

Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework

Gongquan Zhang, Fangrong Chang, Jie Liu · Sustainable Cities and Society · 2024 · 27 citations

Pollution Detection, Engineering, Machine Learning +9

Dual-Objective Reinforcement Learning-Based Adaptive Traffic Signal Control for Decarbonization and Efficiency Optimization

Gongquan Zhang, Fangrong Chang, Helai Huang et al. · Mathematics · 2024 · 14 citations · Full text

Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception

Jieling Jin, Helai Huang, Ye Li et al. · Expert Systems with Applications · 2024 · 14 citations