[HTML][HTML] Sustainable integration of autonomous vehicles into road networks: ecological and passenger comfort considerations

SM Hosseinian, H Mirzahossein, R Guzik - Sustainability, 2024 - mdpi.com
Autonomous vehicle (AV) technology is rapidly advancing, leading to a sustainable
evolution in transportation. AVs offer the promise of enhanced safety, reduced emissions …

Navigating the impact of connected and automated vehicles on mixed traffic efficiency: A driving behavior perspective

W Yue, X Wu, C Li, N Cheng, P Duan… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the proliferation of cellular vehicle-to-everything (C-V2X), connected and automated
vehicles (CAVs) are gradually being commercialized. CAVs can interact with road …

Eco-driving of Electric Vehicles-objective and Subjective Evaluation of Passenger Comfort by a Dynamic Driving Simulator

H Xue, F Ballo, G Previati… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper aims at developing an energy-saving driving strategy for battery electric vehicles
(BEVs) that effectively balances energy efficiency and passengers' comfort. Specifically, the …

Passenger Comfort Quantification for Automated Vehicle Based on Stacking of Psychophysics Mechanism and Encoder-Transformer Model

W Zhu, Z Xi, C Hu, B Zhao, Y Niu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Passenger comfort is a crucial aspect that influences humans' acceptance of automated
vehicles. The passenger comfort score (PCS) is closely related to the passengers' …

SEAE: Stable end-to-end autonomous driving using event-triggered attention and exploration-driven deep reinforcement learning

J Cui, L Yuan, W Xiao, T Ran, L He, J Zhang - Displays, 2025 - Elsevier
In self-driving cars, significant losses can be caused by various unstable factors. Thus, the
use of the reinforcement learning self-driving technology with stability constraints is …

Distributed Self-Organizing Control of CAVs Between Multiple Adjacent-Ramps

Q Ma, X Wang, S Zhang, C Lu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic self-organizing is controlled autonomously by rules that rely on adaptation to local
variations in traffic state and enable effective coordination of the vehicular traffic at a network …

A Novel Lane-Change Decision-Making With Long-Time Trajectory Prediction for Autonomous Vehicle

X Wang, J Hu, C Wei, L Li, Y Li, M Du - IEEE Access, 2023 - ieeexplore.ieee.org
In the process of autonomous vehicle lane changing, a reliable decision-making system is
crucial for driving safety and comfort. However, traditional decision-making systems have …

Autonomous Driving with Human Guided Image Feature Extraction

X Chen, Y Lang, H Xu, Q Ren - IECON 2023-49th Annual …, 2023 - ieeexplore.ieee.org
Autonomous driving is currently one of the most popular topics, and computer vision is the
key and perception-related technology in this field. Although images have the ability to …

Energy-Efficient Speed Planning for Autonomous Driving in Dynamic Traffic Scenarios

Y Shang, F Liu, P Qin, Z Guo… - Transportation Research …, 2024 - journals.sagepub.com
In the field of autonomous driving, velocity planning is of paramount importance for handling
dynamic obstacle scenarios. To avoid unnecessary acceleration and deceleration, self …