Integrated velocity optimization and energy management for FCHEV: An eco-driving approach based on deep reinforcement learning
Ecological driving (eco-driving) is a promising technology for transportation sector to save
energy and reduce emission, which works by improving vehicle behaviors in traffic …
energy and reduce emission, which works by improving vehicle behaviors in traffic …
A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles
Recent advancements in connected automated vehicles (CAVs) and reinforcement learning
(RL) hold significant promise for enhancing intelligent traffic control systems. This paper …
(RL) hold significant promise for enhancing intelligent traffic control systems. This paper …
Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework
Z Feng, J Zhang, H Jiang, X Yao, Y Qian, H Zhang - Energy, 2024 - Elsevier
As the market share of electric vehicles (EVs) continues to grow, driving range capability has
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …
A Multi-Objective Optimal Control Method for Navigating Connected and Automated Vehicles at Signalized Intersections Based on Reinforcement Learning
H Jiang, H Zhang, Z Feng, J Zhang, Y Qian, B Wang - Applied Sciences, 2024 - mdpi.com
The emergence and application of connected and automated vehicles (CAVs) have played
a positive role in improving the efficiency of urban transportation and achieving sustainable …
a positive role in improving the efficiency of urban transportation and achieving sustainable …