An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption

M Noroozi, HR Moghaddam, A Shah… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Impacts of vehicle automation and connectivity have been studied widely from the
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …

A research and educational robotic testbed for real-time control of emerging mobility systems: From theory to scaled experiments [applications of control]

B Chalaki, LE Beaver, AMI Mahbub… - IEEE Control …, 2022 - ieeexplore.ieee.org
Emerging mobility systems, for example, connected and automated vehicles (CAVs), shared
mobility, and electric vehicles, mark a paradigm shift in which myriad opportunities exist for …

Parallel training: An ACP-based training framework for iterative learning in uncertain driving spaces

J Wang, X Wang, Y Tian, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The traffic environment and driving behaviors are of great complexity and uncertainty in our
physical world. Therefore, training in the digital world with low cost and diverse complexities …

Review of decision-making and planning approaches in automated driving

F Garrido, P Resende - IEEE Access, 2022 - ieeexplore.ieee.org
The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …

[HTML][HTML] 基于车路云一体化的混合交通系统优化控制综述

左志强, 刘正璇, 王一晶 - 控制与决策, 2023 - kzyjc.alljournals.cn
汽车行业正在进行智能化与网联化的发展变革, 智能网联汽车的出现使交通管理者找到缓解交通
拥堵, 提高道路安全以及减少能源消耗的一种解决方案. 对此, 调研混合交通流模型 …

Energy-optimal ground vehicle trajectory planning on deformable terrains

N Goulet, B Ayalew - IFAC-PapersOnLine, 2022 - Elsevier
Automated ground vehicles can reduce downtime and increase safety in a wide variety of
applications that occur in energy resource constrained unstructured environments (eg …

Probabilistic constraint tightening techniques for trajectory planning with predictive control

N Goulet, Q Wang, B Ayalew - Journal of the Franklin Institute, 2022 - Elsevier
In order for automated mobile vehicles to navigate in the real world with minimal collision
risks, it is necessary for their planning algorithms to consider uncertainties from …

[PDF][PDF] A Research and Educational Robotic Testbed for Real-Time Control of Emerging Mobility Systems

B Chalaki, LE Beaver, AMI Mahbub, H BANG… - 2022 - ids-lab.net
Emerging mobility systems, for example, connected and automated vehicles (CAVs), shared
mobility, and electric vehicles, provide the most intriguing opportunity for enabling users to …

Fast Collision-Free Multivehicle Lane Change Motion Planning and Control Framework in Uncertain Environments

T Liu, R Chai, S Chai, F Arvin, J Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, we focus on the design, test and validation of a hierarchical control framework
capable of optimizing lane change trajectories and steering the motion of multiple …

Eco‐Speed Harmonization with Partially Connected and Automated Traffic at an Isolated Intersection

Z Kang, L An, J Lai, X Yang… - Journal of advanced …, 2023 - Wiley Online Library
This paper proposed an eco‐speed harmonization method at intersections. It is able to
reduce carbon emissions by controlling partially connected and automated traffic and signal …