Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving
technology, connected and automated vehicles are quickly becoming one of the …
technology, connected and automated vehicles are quickly becoming one of the …
Toward carbon–neutral transportation electrification: a comprehensive and systematic review of eco-driving for electric vehicles
W Li, H Ding, N Xu, J Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to forward the development of transportation electrification and reach the goal of
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …
Towards the next level of vehicle automation through cooperative driving: A roadmap from planning and control perspective
Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of
vehicle automation, elevating driving capabilities within intricate real-world environments …
vehicle automation, elevating driving capabilities within intricate real-world environments …
CACC simulation platform designed for urban scenes
As a key technology to alleviate urban congestion, Cooperative Adaptive Cruise Control
(CACC) requires testing and evaluation before being commercialized. To evaluate CACC …
(CACC) requires testing and evaluation before being commercialized. To evaluate CACC …
A faster cooperative lane change controller enabled by formulating in spatial domain
Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …
Lane-level navigation based eco-approach
An eco-approach planner system is established to realize lane-level navigation based eco-
approach. It has the following features: i) with deeper consideration on mobility; ii) with …
approach. It has the following features: i) with deeper consideration on mobility; ii) with …
Eco-approach at an isolated actuated signalized intersection: Aware of the passing time window
Isolated actuated signalized intersection is a pressing challenge for conventional eco-
approach methods, due to the ever-changing signal timing strategy. This research proposes …
approach methods, due to the ever-changing signal timing strategy. This research proposes …
Optimal Energy Management of Plug-in Hybrid Electric Vehicles Through Ensemble Reinforcement Learning With Exploration-to-Exploitation Ratio Control
B Shuai, M Hua, Y Li, S Shuai, H Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reinforcement learning (RL) has demonstrated its advantages in the intelligent control of
many vehicle systems. However, controlling the exploration-to-exploitation (E2E) ratio of RL …
many vehicle systems. However, controlling the exploration-to-exploitation (E2E) ratio of RL …
A hierarchical robust control strategy for decentralized signal-free intersection management
The development of connected and automated vehicles (CAVs) is the key to improving
urban mobility safety and efficiency. This article focuses on cooperative vehicle …
urban mobility safety and efficiency. This article focuses on cooperative vehicle …
Expert-demonstration-augmented reinforcement learning for lane-change-aware eco-driving traversing consecutive traffic lights
C Zhang, W Huang, X Zhou, C Lv, C Sun - Energy, 2024 - Elsevier
Eco-driving methods incorporating lateral motion exhibit enhanced energy-saving prospects
in multi-lane traffic contexts, yet the randomly distributed obstructing vehicles and sparse …
in multi-lane traffic contexts, yet the randomly distributed obstructing vehicles and sparse …