VeSoNet: Traffic-aware content caching for vehicular social networks using deep reinforcement learning
Vehicular social networking is an emerging application of the Internet of Vehicles (IoV)
which aims to achieve seamless integration of vehicular networks and social networks …
which aims to achieve seamless integration of vehicular networks and social networks …
Reinforcement learning in construction engineering and management: A review
The construction engineering and management (CEM) domain frequently meets complex
tasks due to the unavoidable complicated operation environments and the involvement of …
tasks due to the unavoidable complicated operation environments and the involvement of …
[HTML][HTML] The deceitful connected and autonomous vehicle: defining the concept, contextualising its dimensions and proposing mitigation policies
Abstract The Connected and Autonomous Vehicle (CAV) is an emerging mobility technology
that may hold a paradigm-changing potential for the future of transport policy and planning …
that may hold a paradigm-changing potential for the future of transport policy and planning …
Drone navigation using region and edge exploitation-based deep CNN
Drones are unmanned aerial vehicles (UAV) utilized for a broad range of functions,
including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even …
including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even …
Multi-agent reinforcement learning for traffic flow management of autonomous vehicles
Intelligent traffic management systems have become one of the main applications of
Intelligent Transportation Systems (ITS). There is a growing interest in Reinforcement …
Intelligent Transportation Systems (ITS). There is a growing interest in Reinforcement …
Non-divergent traffic management scheme using classification learning for smart transportation systems
S Manimurugan, S Almutairi - Computers and Electrical Engineering, 2023 - Elsevier
Smart transportation is an autonomous arrangement that embodies technologically enabled
intelligent vehicles and traffic systems to assist diverse real-time roadside applications and …
intelligent vehicles and traffic systems to assist diverse real-time roadside applications and …
Traffic flow management of autonomous vehicles using platooning and collision avoidance strategies
Connected Autonomous Vehicles (AVs) promise innovative solutions for traffic flow
management, especially for congestion mitigation. Vehicle-to-Vehicle (V2V) communication …
management, especially for congestion mitigation. Vehicle-to-Vehicle (V2V) communication …
An improved traffic rerouting strategy using real-time traffic information and decisive weights
YT Tseng, HW Ferng - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
To alleviate possible traffic congestion during rush hours, an improved traffic rerouting
strategy designed for (or interplayed with) the vehicular ad hoc networks (VANETs) is …
strategy designed for (or interplayed with) the vehicular ad hoc networks (VANETs) is …
TAKEN: A traffic knowledge-based navigation system for connected and autonomous vehicles
Connected and autonomous vehicles (CAVs) have witnessed significant attention from
industries, and academia for research and developments towards the on-road realisation of …
industries, and academia for research and developments towards the on-road realisation of …
Deep reinforcement learning for vehicle platooning at a signalized intersection in mixed traffic with partial detection
The intersection management system can increase traffic capacity, vehicle safety, and the
smoothness of all vehicle movement. Platoons of connected vehicles (CVs) use …
smoothness of all vehicle movement. Platoons of connected vehicles (CVs) use …