Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - … Transportation …, 2020 - ieeexplore.ieee.org
… Finally, this survey highlights the current issues of safe DL-… to join this vibrant area of
Intelligent Transportation Systems. … of current trends in autonomous driving,” IEEE Trans. Intell. …

Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
… The modern intelligent transportation system (ITS) is highly … self-driving vehicles, ensure
security of connected vehicles, efficient … We reviewed recent smart cities’ research trends and …

Distribution system services provided by electric vehicles: Recent status, challenges, and future prospects

NB Arias, S Hashemi, PB Andersen… - … Transportation …, 2019 - ieeexplore.ieee.org
… point of view, the concept of ancillary services provided to the DSOs is a new paradigm that
has been emerging in conjunction with the new roles assumed by DSOs within the smart grid …

Deep spatial–temporal 3D convolutional neural networks for traffic data forecasting

S Guo, Y Lin, S Li, Z Chen… - … Intelligent Transportation …, 2019 - ieeexplore.ieee.org
… safety, stability, and efficiency of intelligent transportation systems. … , current traffic data
is closely related to the recent historical data. Weekly period refers to the periodic and trend

Anomaly based incident detection in large scale smart transportation systems

J Islam, JP Talusan, S Bhattacharjee… - … -Physical Systems  …, 2022 - ieeexplore.ieee.org
… In this paper, we first propose a real-time data-driven anomaly-based traffic incident
detection framework for a city-scale smart transportation system. Specifically, we propose an …

Smart parking systems: comprehensive review based on various aspects

A Fahim, M Hasan, MA Chowdhury - Heliyon, 2021 - cell.com
… include home apparatus, robots, intelligent vehicles, smart transportation systems, … to build
the core parts of this paper and determine the technological trends in smart parking systems. …

Spatial-temporal aware inductive graph neural network for C-ITS data recovery

W Liang, Y Li, K Xie, D Zhang, KC Li… - … Transportation …, 2022 - ieeexplore.ieee.org
… in smart city applications. One of the most successful applications is Intelligent Transportation
Systems (… comparable results for the data series without a clear trend or periodical pattern. …

Resource allocation in 5G IoV architecture based on SDN and fog-cloud computing

B Cao, Z Sun, J Zhang, Y Gu - … intelligent transportation systems, 2021 - ieeexplore.ieee.org
… Abstract—In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult
to guarantee the low latency requirements of the current intelligent transportation system (ITS). …

Mobility-aware proactive edge caching for connected vehicles using federated learning

Z Yu, J Hu, G Min, Z Zhao, W Miao… - … Transportation …, 2020 - ieeexplore.ieee.org
… ered as a key enabling technology in Intelligent Transportation Systems (ITS) to decrease
traffic congestion, improve traffic efficiency and enhance road safety [1]. Self-driving vehicles

Trust in VANET: A survey of current solutions and future research opportunities

R Hussain, J Lee, S Zeadally - … on intelligent transportation …, 2020 - ieeexplore.ieee.org
Intelligent Transportation System (ITS) applications. However, some security goals such as
trust and reputation, are still hard to achieve through conventional cryptographic approaches. …