Fusion of engineering insights and emerging trends: Intelligent urban traffic management system
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …
on roads continues to intensify significantly against the slow development of road …
[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
Milestones in autonomous driving and intelligent vehicles—part 1: Control, computing system design, communication, hd map, testing, and human behaviors
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 …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
[HTML][HTML] Survey on decentralized congestion control methods for vehicular communication
Vehicular communications have grown in interest over the years and are nowadays
recognized as a pillar for the Intelligent Transportation Systems (ITSs) in order to ensure an …
recognized as a pillar for the Intelligent Transportation Systems (ITSs) in order to ensure an …
[HTML][HTML] A survey on machine-learning based security design for cyber-physical systems
A cyber-physical system (CPS) is the integration of a physical system into the real world and
control applications in a computing system, interacting through a communications network …
control applications in a computing system, interacting through a communications network …
[HTML][HTML] Deep learning-based dynamic stable cluster head selection in VANET
VANET is the spontaneous evolving creation of a wireless network, and clustering in these
networks is a challenging task due to rapidly changing topology and frequent disconnection …
networks is a challenging task due to rapidly changing topology and frequent disconnection …
Bayesian spatial correlation, heterogeneity and spillover effect modeling for speed mean and variance on urban road networks
Y Zhou, X Jiang, C Fu, H Liu, G Zhang - Accident Analysis & Prevention, 2022 - Elsevier
Analyzing speed mean and variance is vital to safety management in urban roadway
networks. However, modeling speed mean and variance on structured roads could be …
networks. However, modeling speed mean and variance on structured roads could be …
[HTML][HTML] The state of the art of cooperative and connected autonomous vehicles from the future mobility management perspective: a systematic review
MS Alam, P Georgakis - Future transportation, 2022 - mdpi.com
Cooperative and connected autonomous vehicles (CCAVs) are considered to be a
promising solution for addressing congestion and other operational deficiencies, as part of a …
promising solution for addressing congestion and other operational deficiencies, as part of a …
BEMD: Beacon-oriented Emergency Message Dissemination scheme for highways
Abstract Internet of Vehicle (IoV) dominates the traditional concept of Vehicular Ad-hoc
Network (VANET) to boost the capabilities of Intelligent Transportation System (ITS) …
Network (VANET) to boost the capabilities of Intelligent Transportation System (ITS) …
A centralized and dynamic network congestion classification approach for heterogeneous vehicular networks
F Falahatraftar, S Pierre, S Chamberland - IEEE Access, 2021 - ieeexplore.ieee.org
Network congestion-related studies consist mainly of two parts: congestion detection and
congestion control. Several researchers have proposed different mechanisms to control …
congestion control. Several researchers have proposed different mechanisms to control …