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Impact of digital twins and metaverse on cities: History, current situation, and application perspectives
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 …
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
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 …
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
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 …
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 …
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
Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …
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
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 …
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
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 …
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 …
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
With the increasing deployment of roadside sensors, vehicle trajectories can be collected for
driving behavior analysis and vehicle-highway automation systems. However, due to …
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 …
link in a transportation network may increase the travel cost for all travelers in the network …