Impact of digital twins and metaverse on cities: History, current situation, and application perspectives

Z Lv, WL Shang, M Guizani - Applied Sciences, 2022 - mdpi.com
To promote the expansion and adoption of Digital Twins (DTs) in Smart Cities (SCs), a
detailed review of the impact of DTs and digitalization on cities is made to assess the …

Dynamic simulation and lifecycle assessment of hydrogen fuel cell electric vehicles considering various hydrogen production methods

P Ahmadi, A Khoshnevisan - International Journal of Hydrogen Energy, 2022 - Elsevier
In this research study, a real model of a hydrogen fuel cell vehicle is simulated using
Simcenter Amesim software. The software used for vehicle simulation enabled dynamic …

Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance

F Cugurullo, RA Acheampong - AI & SOCIETY, 2024 - Springer
Artificial intelligence (AI) is becoming part of the everyday. During this transition, people's
intention to use AI technologies is still unclear and emotions such as fear are influencing it …

A novel spatio-temporal synchronization method of roadside asynchronous MMW radar-camera for sensor fusion

Y Du, B Qin, C Zhao, Y Zhu, J Cao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Roadside sensors, such as camera and millimeter-wave (MMW) radar, provide traffic
information beyond the visual range of intelligent vehicles in cooperative vehicle …

TriPField: A 3D potential field model and its applications to local path planning of autonomous vehicles

Y Ji, L Ni, C Zhao, C Lei, Y Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …

Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning

Y Du, J Chen, C Zhao, C Liu, F Liao… - … Research Part C …, 2022 - Elsevier
Rough pavements cause ride discomfort and energy inefficiency for road vehicles. Existing
methods to address these problems are time-consuming and not adaptive to changing …

A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge

Y Du, J Chen, C Zhao, F Liao… - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …

A practical and economical ultra‐wideband base station placement approach for indoor autonomous driving systems

S Jiang, C Zhao, Y Zhu, C Wang… - Journal of advanced …, 2022 - Wiley Online Library
Automated valet parking (AVP) has attracted much attention as the entry point to
autonomous driving. In an indoor environment, high‐precision positioning systems are …

TrajGAT: A map-embedded graph attention network for real-time vehicle trajectory imputation of roadside perception

C Zhao, A Song, Y Du, B Yang - Transportation research part C: emerging …, 2022 - Elsevier
With the increasing deployment of roadside sensors, vehicle trajectories can be collected for
driving behavior analysis and vehicle-highway automation systems. However, due to …

Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022)

J Yao, Z Cheng, A Chen - Transportation research part B: methodological, 2023 - Elsevier
Braess proposed one of the classical traffic paradoxes in 1968, which states that adding a
link in a transportation network may increase the travel cost for all travelers in the network …