Navigating electric vehicles along a signalized corridor via reinforcement learning: Toward adaptive eco-driving control

J Zhang, X Jiang, S Cui, C Yang… - Transportation Research …, 2022 - journals.sagepub.com
One problem associated with the operation of electric vehicles (EVs) is the limited battery,
which cannot guarantee their endurance. The increasing electricity consumption will also …

Efficient eco-driving control for EV platoons in mixed urban traffic scenarios considering regenerative braking

J Liu, Z Wang, L Zhang - IEEE Transactions on Transportation …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) provide enormous opportunities for improving
fuel economy, safety, and capacity of the transportation system. In this article, an eco-driving …

Eco-driving at signalized intersections under uncertain traffic conditions

X Chen, L Qian, Q Wang - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Eco-driving at signalized intersections is a topical issue in CAVs technology and an
important part of energy-efficient driving. In this paper, a robust eco-driving control method of …

Design and experimental validation of eco-driving system for connected and automated electric vehicles

X Luo, Y Cheng, J Hong, S Dong, X Na, B Gao… - Control Engineering …, 2025 - Elsevier
To address range anxiety in electric vehicles (EVs), this paper presents an eco-driving add-
on system implemented on a production EV, with comparative field experiments conducted …

IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning

Y Chen, J Cheng, L Gan, S Wang, H Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Considerable research efforts have been devoted to the development of motion planning
algorithms, which form a cornerstone of the autonomous driving system (ADS). Nonetheless …

Improving traffic efficiency during yellow lights using connected vehicles

M Du, J Liu, Q Chen - Physica A: Statistical Mechanics and its Applications, 2021 - Elsevier
Whether to go or stop at the onset of a yellow light is a dilemma. Drivers like to go but
choose to stop for fear of safety. Mixing connected vehicles (CVs) in flow can improve traffic …

DeepGAL: Intelligent Vehicle Control for Traffic Congestion Alleviation at Intersections

M Cao, VOK Li, Q Shuai - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Intersections are prone to congestion in urban areas and making competent speed plans for
vehicles to efficiently utilize green time resources is significant for congestion alleviation and …

Data-driven rolling eco-speed optimization for autonomous vehicles

Y Yang, K Gao, S Cui, Y Xue, A Najafi… - Frontiers of Engineering …, 2024 - Springer
In urban settings, fluctuating traffic conditions and closely spaced signalized intersections
lead to frequent emergency acceleration, deceleration, and idling in vehicles. These …

Eco-driving over multi-signal road segments considering traffic flow constraints

Z Yang, C Wang, Y Fan, L Zhang - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Unsuitable driving strategies are the major contributor to the high energy usage of
passenger vehicles in urban areas. This study provides an eco-driving strategy over road …

考虑时延的信号交叉口生态驾驶控制

陈欣宇, 钱立军, 王其东 - 汽车工程, 2022 - qichegongcheng.com
针对信号交叉口处的生态驾驶问题, 本文中提出了一种考虑时变时延的鲁棒模型预测控制方法.
首先给出基于交通信号灯正时信息, 最优巡航车速和前车状态信息的最优目标车速计算方法 …