Control of connected and automated vehicles: State of the art and future challenges
Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …
challenges include the unknown intentions of other road users: communication between …
Towards connected autonomous driving: review of use-cases
Connected autonomous vehicles are considered as mitigators of issues such as traffic
congestion, road safety, inefficient fuel consumption and pollutant emissions that current …
congestion, road safety, inefficient fuel consumption and pollutant emissions that current …
Optimal eco-driving control of connected and autonomous vehicles through signalized intersections
This article focuses on the speed planning problem for connected and automated vehicles
(CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized …
(CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized …
Fast model predictive control-based fuel efficient control strategy for a group of connected vehicles in urban road conditions
B HomChaudhuri, A Vahidi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we develop a fast model predictive control (MPC)-based fuel economic control
strategy for a group of connected vehicles in urban road conditions. The proposed control …
strategy for a group of connected vehicles in urban road conditions. The proposed control …
Traffic signal timing and trajectory optimization in a mixed autonomy traffic stream
M Tajalli, A Hajbabaie - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
This study introduces a methodology for cooperative signal timing and trajectory
optimization at intersections with a mix of connected automated vehicles (CAVs) and human …
optimization at intersections with a mix of connected automated vehicles (CAVs) and human …
Hierarchical control strategies for energy management of connected hybrid electric vehicles in urban roads
B HomChaudhuri, R Lin, P Pisu - Transportation Research Part C …, 2016 - Elsevier
This paper presents a fuel efficient control strategy for a group of connected hybrid electric
vehicles (HEVs) in urban road conditions. A hierarchical control architecture is proposed in …
vehicles (HEVs) in urban road conditions. A hierarchical control architecture is proposed in …
[HTML][HTML] 智能网联汽车协同生态驾驶策略综述
杨澜， 赵祥模， 吴国垣， 徐志刚， 惠飞， 郝鹏… - 交通运输工程 …, 2020 - transport.chd.edu.cn
为了跟踪近年来智能网联汽车(CAV) 协同生态驾驶策略的研究进展, 分析了车辆, 驾驶行为,
交通网络和社会这4 类因素对CAV 能耗的影响程度, 以车辆, 基础设施和旅行者为对象对目前 …
交通网络和社会这4 类因素对CAV 能耗的影响程度, 以车辆, 基础设施和旅行者为对象对目前 …
A markov decision process framework to incorporate network-level data in motion planning for connected and automated vehicles
Autonomy and connectivity are expected to enhance safety and improve fuel efficiency in
transportation systems. While connected vehicle-enabled technologies, such as coordinated …
transportation systems. While connected vehicle-enabled technologies, such as coordinated …
Learning eco-driving strategies at signalized intersections
V Jayawardana, C Wu - 2022 European Control Conference …, 2022 - ieeexplore.ieee.org
Signalized intersections in arterial roads result in persistent vehicle idling and excess
accelerations, contributing to fuel consumption and CO 2 emissions. There has thus been a …
accelerations, contributing to fuel consumption and CO 2 emissions. There has thus been a …
Combined control of freeway traffic involving cooperative adaptive cruise controlled and human driven vehicles using feedback control through SUMO
In this study, we propose and test through micro-simulation a novel controller for the
combined control of freeway traffic by adopting coordinated Ramp Metering (RM) and …
combined control of freeway traffic by adopting coordinated Ramp Metering (RM) and …