Multi-agent deep reinforcement learning to manage connected autonomous vehicles at tomorrow's intersections

GP Antonio, C Maria-Dolores - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In recent years, the growing development of Connected Autonomous Vehicles (CAV),
Intelligent Transport Systems (ITS), and 5G communication networks have led to the advent …

Collective intelligence using 5G: Concepts, applications, and challenges in sociotechnical environments

A Narayanan, MS Korium, DC Melgarejo… - IEEE …, 2022 - ieeexplore.ieee.org
Distributed intelligence is a well-known approach for optimizing interactions among
numerous smart devices that interconnect and operate together as Internet of Things (IoT) …

Internet of things (IoT) for sustainable smart cities

EFI Raj, M Appadurai, S Darwin, EFI Rani - Internet of things, 2022 - taylorfrancis.com
The world's population is rapidly increasing. Human consumption has accelerated
environmental and natural resource depletion on the planet. The towns and cities struggle to …

[HTML][HTML] AIM5LA: A latency-aware deep reinforcement learning-based autonomous intersection management system for 5G communication networks

GP Antonio, C Maria-Dolores - Sensors, 2022 - mdpi.com
The future of Autonomous Vehicles (AVs) will experience a breakthrough when collective
intelligence is employed through decentralized cooperative systems. A system capable of …

Learning from Oracle demonstrations—a new approach to develop autonomous intersection management control algorithms based on multiagent deep reinforcement …

A Guillen-Perez, MD Cano - IEEE Access, 2022 - ieeexplore.ieee.org
Worldwide, many companies are working towards safe and innovative control systems for
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …

TrafC‐AnTabu: AnTabu routing algorithm for congestion control and traffic lights management using fuzzy model

A Verma, R Tandon, PK Gupta - Internet Technology Letters, 2022 - Wiley Online Library
Traffic congestion is becoming one of the severe problems around the globe. The rate at
which vehicles are increasing is exponentially proportional to more complex issues …

[PDF][PDF] V2X-Equipped Smart Intersections–Survey of Surveys Use Cases and Deployments

H Hejazi, L Bokor - Journal of Communications, 2023 - jocm.us
(VRUs) and smart intersection participants, such as vehicles and drivers in Cooperative
Intelligent Transportation Systems (C-ITS), is one of the main tools in solutions for increasing …

Trend analysis of traffic management based on literature data mining and graph analysis tools

X Ding, W Liu, C Wang, D Kong, W Tang… - IET Intelligent …, 2023 - Wiley Online Library
Studites on traffic management is crucial for the development of intelligent transportation
systems and smart cities. However, identifying the development stages of traffic …

[HTML][HTML] Improving traffic light systems using Deep Q-networks

J Moreno-Malo, JL Posadas-Yagüe, JC Cano… - Expert Systems with …, 2024 - Elsevier
As our cities become more complex and traffic demand grows, managing such traffic
efficiently becomes challenging. Hence, solutions that allow building upon the current traffic …

A Distributed Emergency Vehicle Transit System Using Artificial Intelligence of Things (DEVeTS‐AIoT)

U Mahmud, S Hussain, A Sarwar… - … and Mobile Computing, 2022 - Wiley Online Library
The advent of the 4th industrial revolution has realized smart environments composed of
cloud and fog. These have been improved to enable intelligence at the fog, where …