211 documents found, page 1 of 22
Intelligent traffic control strategies for VLC-connected vehicles and pedestria...
Galvão, Gonçalo; Vieira, Manuela; Vieira, Manuel Augusto; Véstias, Mário; Louro, PaulaUrban traffic congestion leads to daily delays, driven by outdated, rigid control systems. As vehicle numbers grow, fixed-phase signals struggle to adapt to real-time conditions. This work presents a decentralized Multi-Agent Reinforcement Learning (MARL) system to manage a traffic cell composed of five intersections, introducing the novel Strategic Anti-Blocking Phase Adjustment (SAPA) module, developed to ena...
Life cycle assessment using machine learning
Gomes, Sofia; Faria, Brígida Mónica; Oliveira, Alexandra Alves; Pinto, Edgar; Rodrigues, Matilde; Vieira, Manuela; Faria, Brigida MonicaLife Cycle Assessment (LCA) is a scientific tool that allows calculating the impact of a product or service on the environment, considering the different phases from planting to transportation, commercialization, consumption, and disposal. (1) LCA requires comprehensive data collection of the inputs and outputs such as raw materials, energy, water, used chemicals and pollutants emissions at each stage of the li...
Decentralized multi-agent reinforcement learning with visible light communicati...
Augusto Vieira, Manuel; Gonçalo Galvão; Vieira, Manuela; Véstias, Mário; Louro, Paula; Vieira, PedroThe rapid growth of urban vehicle and pedestrian flows has intensified congestion, delays, and safety concerns, underscoring the need for sustainable and intelligent traffic management in modern cities. Traditional centralized traffic signal control systems often face challenges of scalability, heterogeneity of traffic patterns, and limited real-time adaptability. To address these limitations, this study propos...
Gait cycle duration analysis in lower limb amputees using an IoT-based photonic...
Alves, Bruna; Fantoni, Alessandro; Matos, José; Costa, João; Vieira, ManuelaThis study represents a preliminary proof of concept intended to demonstrate the feasibility of using a single-point LiDAR sensor for wearable gait analysis. The study presents a low-cost wearable sensor system that integrates a single-point LiDAR module and IoT connectivity to assess Gait Cycle Duration (GCD) and gait symmetry in real time. The device is positioned on the medial side of the calf to detect the ...
Gait Cycle Duration Analysis in Lower Limb Amputees Using an IoT-Based Photonic...
Alves, Bruna; Fantoni, Alessandro; Matos, José Pedro; Costa, João; Vieira, ManuelaThis study represents a preliminary proof of concept intended to demonstrate the feasibility of using a single-point LiDAR sensor for wearable gait analysis. The study presents a low-cost wearable sensor system that integrates a single-point LiDAR module and IoT connectivity to assess Gait Cycle Duration (GCD) and gait symmetry in real time. The device is positioned on the medial side of the calf to detect the ...
Decentralized Multi-Agent Reinforcement Learning with Visible Light Communicati...
Vieira, Manuel Augusto; Galvão, Gonçalo; Vieira, Manuela; Véstias, Mário; Louro, Paula; Vieira, PedroThe rapid growth of urban vehicle and pedestrian flows has intensified congestion, delays, and safety concerns, underscoring the need for sustainable and intelligent traffic management in modern cities. Traditional centralized traffic signal control systems often face challenges of scalability, heterogeneity of traffic patterns, and limited real-time adaptability. To address these limitations, this study propos...
Enhanced SUMO–VLC Framework for Real-time Vehicular Communication and Validation
Louro, Paula; Galvão, Gonçalo; Gaspar, Afonso; Dragovic, João; Marques, João; Vieira, Manuela; Vieira, Manuel AugustoThis work explores the integration of visible light communication technology with urban traffic management systems. Using RGBV LEDs, Visible Light Communication facilitates real-time data collection – such as vehicle position, speed, queue length, and waiting time – through transmitters embedded in streetlights, traffic signals, and vehicle headlights. These enable multiple communication modes: vehicle-to-vehic...
AI-enhanced VLC Cyber-physical Architecture for Adaptive Airport Traffic Manage...
Vieira, Manuela; Vieira, Manuel A.; Galvão, Gonçalo; Louro, Paula; Vieira, Pedro; Fantoni, AlessandroModern airports are complex Cyber-Physical Systems (CPS), where effective coordination between physical entities – like pedestrians and Autonomous Guided Vehicles (AGVs) – and computational components is essential for safety and efficiency. This study introduces a novel CPS architecture that integrates Artificial Intelligence (AI) and Visible Light Communication (VLC) to optimize mobility and enhance real-time ...
Integrating Visible Light Communication and Deep Reinforcement Learning for Sma...
Galvão, Gonçalo; Vieira, Manuel A.; Vieira, Manuela; Véstias, Mário; Louro, Paula; Vieira, PedroUrban traffic management is increasingly challenged by rising vehicle and pedestrian flows, resulting in congestion, delays, and safety riskW. This article proposes an innovative traffic signal control framework that integrates Deep Reinforcement Learning (DRL) with Visible Light Communication (VLC) to optimize operations at intersections, which are critical bottlenecks in urban networks. A decentralized DRL ag...
Intelligent Intersection Management through Multi-agent Reinforcement Learning,...
Vieira, Manuel A.; Antunes, Tomás; Galvão, Gonçalo; Vieira, Manuela; Véstias, Mário; Louro, PaulaUrban traffic management faces growing challenges due to increasing volumes of vehicles and pedestrians, resulting in congestion, delays, and safety concerns. This study introduces an innovative traffic signal control framework that integrates Multi-Agent Reinforcement Learning (MARL) with Visible Light Communication (VLC) and a Self-Adaptive Phase Adjustment (SAPA) module to enhance coordination across urban i...