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 …

Impacts of Platooning of Connected Automated Vehicles on Highways

M Martínez-Díaz, C Al-Haddad… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Platooning of connected automated vehicles (CAVs) on highways has attracted the interest
of researchers, companies and administrations for years. This interest has yielded a vast …

Carbon emission impacts of longitudinal disturbance on low-penetration connected automated vehicle environments

F Zong, S Yue - Transportation Research Part D: Transport and …, 2023 - Elsevier
Traffic oscillation, a traffic phenomenon that generates many carbon emissions, originates
from the amplification of traffic disturbance. The connected and automated vehicle (CAV) …

Adaptive leading cruise control in mixed traffic considering human behavioral diversity

Q Wang, H Dong, F Ju, W Zhuang, C Lv… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper presents an adaptive leading cruise control strategy for the automated vehicle
(AV) and first considers its impact on the following human-driven vehicle (HDV) with diverse …

Modeling driver behavior in car-following interactions with automated and human-driven vehicles and energy efficiency evaluation

MF Ozkan, Y Ma - IEEE Access, 2021 - ieeexplore.ieee.org
Human drivers can have diverse car-following behaviors when interacting with connected
and automated vehicles (CAVs) and other human-driven vehicles in mixed traffic where …

Multi-agent reinforcement learning for ecological car-following control in mixed traffic

Q Wang, F Ju, H Wang, Y Qian, M Zhu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The push towards sustainable transportation emphasizes vehicular energy efficiency in
mixed traffic scenarios. A research hotspot is the cooperative control of connected and …

An algebraic evaluation framework for a class of car-following models

Z Wang, X Zhou, J Wang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Car-following models describe how a driver follows the leading vehicle in the same lane.
They serve as the cornerstone of microscopic traffic-flow simulations and play an essential …

Driver-centric data-driven robust model predictive control for mixed vehicular platoon

Y Wu, Z Zuo, Y Wang, Q Han - Nonlinear Dynamics, 2023 - Springer
The penetration rate of automated vehicles (AVs) may remain unsaturated for a long time,
resulting in the coexistence of AVs and human-driven vehicles (HDVs). The non-ideal …

Real-time traffic prediction considering lane changing maneuvers with application to eco-driving control of electric vehicles

S He, S Wang, Y Shao, Z Sun… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Emerging vehicle sensing and communication technologies allow for real-time information
exchange between connected vehicles (CVs) and intelligent infrastructure. This presents a …

Environmental impact estimation of mixed traffic flow involving CAVs and Human-driven vehicles considering the non-equilibrium state

Y Ge, R Jiang, H Sun, Z Gao, J Liu, J Wang - Transportation research part …, 2024 - Elsevier
The impact of Connected and Autonomous Vehicles (CAVs) on the mixed traffic of CAVs and
Human-driven Vehicles (HVs) has been extensively investigated. Existing network-level …