Intersection control with connected and automated vehicles: A review
Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …
Automated eco-driving in urban scenarios using deep reinforcement learning
Urban settings are challenging environments to implement eco-driving strategies for
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …
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 …
An eco-driving algorithm based on vehicle to infrastructure (V2I) communications for signalized intersections
Efficient operations of traffic signals are of critical importance in urban areas, as signalized
intersections prevent the smooth flow of traffic and cause delays. This paper devises an eco …
intersections prevent the smooth flow of traffic and cause delays. This paper devises an eco …
Traffic-aware ecological cruising control for connected electric vehicle
The advent of intelligent connected technology has greatly enriched the capabilities of
vehicles in acquiring information. The integration of short-term information from limited …
vehicles in acquiring information. The integration of short-term information from limited …
A comparative study of energy-efficient driving strategy for connected internal combustion engine and electric vehicles at signalized intersections
This paper takes into consideration of vehicle queues at the intersection and proposes an
energy-efficient driving strategy to improve vehicle energy efficiency and overall traffic …
energy-efficient driving strategy to improve vehicle energy efficiency and overall traffic …
Learning the policy for mixed electric platoon control of automated and human-driven vehicles at signalized intersection: A random search approach
The upgrading and updating of vehicles have accelerated in the past decades. Out of the
need for environmental friendliness and intelligence, electric vehicles (EVs) and connected …
need for environmental friendliness and intelligence, electric vehicles (EVs) and connected …
[HTML][HTML] 智能网联车辆生态驾驶研究现状及展望
陈志军， 张晶明， 熊盛光， 苏紫鹏， 胡军楠， 吴超仲 - 交通信息与安全, 2022 - jtxa.net
作为近年来智能网联汽车领域的研究焦点, 生态驾驶旨在提高驾驶安全的基础上,
通过改善驾驶行为, 有效缓解能源消耗和污染排放等问题, 引起了各国政府, 企业 …
通过改善驾驶行为, 有效缓解能源消耗和污染排放等问题, 引起了各国政府, 企业 …
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 …
which cannot guarantee their endurance. The increasing electricity consumption will also …
Energy-efficient driving for adaptive traffic signal control environment via explainable reinforcement learning
Energy-efficient driving systems can effectively reduce energy consumption during vehicle
operation. Most of the existing studies focus on the driving strategies in a fixed signal timing …
operation. Most of the existing studies focus on the driving strategies in a fixed signal timing …