Urban traffic signal control under mixed traffic flows: Literature review

Ž Majstorović, L Tišljarić, E Ivanjko, T Carić - Applied Sciences, 2023 - mdpi.com
Mixed traffic flows are opening up new areas for research and are seen as key drivers in the
field of data and services that will make roads safer and more environmentally friendly …

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection

D Mamchur, J Peksa, A Kolodinskis, M Zigunovs - Sensors, 2022 - mdpi.com
Traditional nonintrusive object inspection methods are complex or extremely expensive to
apply in certain cases, such as inspection of enormous objects, underwater or maritime …

[HTML][HTML] Smart traffic scheduling for crowded cities road networks

AAA Alkhatib, KA Maria, S AlZu'bi, EA Maria - Egyptian Informatics Journal, 2022 - Elsevier
With the fast-expanding number of vehicles in smart cities, the management of road
intersections and traffic congestion has grown to be major problems. Drivers often express …

A scalable approach to optimize traffic signal control with federated reinforcement learning

J Bao, C Wu, Y Lin, L Zhong, X Chen, R Yin - Scientific Reports, 2023 - nature.com
Intelligent Transportation has seen significant advancements with Deep Learning and the
Internet of Things, making Traffic Signal Control (TSC) research crucial for reducing …

Embedded system vehicle based on multi-sensor fusion

R Tong, Q Jiang, Z Zou, T Hu, T Li - IEEE Access, 2023 - ieeexplore.ieee.org
As intelligent driving vehicles came out of concept into people's life, the combination of safe
driving and artificial intelligence becomes the new direction of future transportation …

SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion

A Sachan, N Kumar - ACM Transactions on Internet Technology, 2024 - dl.acm.org
Existing intersection management systems, in urban cities, lack in meeting the current
requirements of self-configuration, lightweight computing, and software-defined control …

Novel system for road traffic optimisation in large cities

AAA Alkhatib, K Abu Maria, S Alzu'bi… - IET Smart …, 2022 - Wiley Online Library
Traffic congestion and road intersection management have become a significant issue,
mainly with the highly increasing number of vehicles in cities. There is a common belief from …

[HTML][HTML] Automatic Overtaking Path Planning and Trajectory Tracking Control Based on Critical Safety Distance

J Huang, S Sun, K Long, L Yin, Z Zhang - Electronics, 2024 - mdpi.com
The overtaking process for autonomous vehicles must prioritize both efficiency and safety,
with safe distance being a crucial parameter. To address this, we propose an automatic …

[HTML][HTML] A Division-of-Labour approach to traffic light scheduling

H Raubenheimer, A Engelbrecht - Applied Sciences, 2024 - mdpi.com
Featured Application Traffic light scheduling optimisation using a task allocation model
based on division-of-labour behaviour as observed in insect colonies. Abstract Traffic light …

Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions

Z Lin, K Gao, N Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In complex and variable traffic environments, efficient multi-objective urban traffic light
scheduling is imperative. However, the carbon emission problem accompanying traffic …