Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y **ng, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

Y **ng, C Lv, D Cao, P Hang - Transportation research part C: emerging …, 2021 - Elsevier
The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y **ng, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

[HTML][HTML] Trajectory data-based traffic flow studies: A revisit

L Li, R Jiang, Z He, XM Chen, X Zhou - Transportation Research Part C …, 2020 - Elsevier
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

An ensemble deep learning approach for driver lane change intention inference

Y **ng, C Lv, H Wang, D Cao, E Velenis - Transportation Research Part C …, 2020 - Elsevier
With the rapid development of intelligent vehicles, drivers are increasingly likely to share
their control authorities with the intelligent control unit. For building an efficient Advanced …

Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles

Y **ng, C Lv, D Cao - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Motion prediction for the leading vehicle is a critical task for connected autonomous
vehicles. It provides a method to model the leading-following vehicle behavior and analysis …

An intelligent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle

W Wang, T Qie, C Yang, W Liu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In the future complex intelligent transportation environments, lane-changing behavior of
surrounding vehicles is a significant factor affecting the driving safety. It is necessary to …

A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges

Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …

Driver digital twin for online prediction of personalized lane-change behavior

X Liao, X Zhao, Z Wang, Z Zhao, K Han… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) are supposed to share the road with human-
driven vehicles (HDVs) in a foreseeable future. Therefore, considering the mixed traffic …

Detecting human driver inattentive and aggressive driving behavior using deep learning: Recent advances, requirements and open challenges

MH Alkinani, WZ Khan, Q Arshad - Ieee Access, 2020 - ieeexplore.ieee.org
Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …