RT journal article
T1 Algorithmic Identification of Conflicting Traffic Lights: A Large-Scale Approach with a Network Conflict Matrix
A1 Rojas Blanco, Sergio
A1 Cerezo Narváez, Alberto
A1 Sáez Martínez, Sol
A1 Otero Mateo, Manuel
A2 Ingeniería Mecánica y Diseño Industrial
A2 Matemáticas
K1 urban road network
K1 traffic light control
K1 intelligent transportation system
K1 Vissim
K1 traffic conflict
K1 adjacency matrix
AB Efficient urban traffic management is crucial for mitigating congestion and enhancing road safety. This study introduces a novel algorithm, with code provided, to generate a traffic light conflict matrix, identifying potential signal conflicts solely based on road network topology. Unlike existing graphical approaches that are difficult to execute automatically, our method leverages readily available topological data and adjacency matrices, ensuring broad applicability and automation. While our approach deliberately focuses on topology as a stable foundation, it is designed to complement rather than replace dynamic traffic analysis, serving as an essential preprocessing layer for subsequent temporal optimization. Implemented in MATLAB, with specific functionality for Vissim users, the algorithm has been tested on various networks with up to 547 traffic lights, demonstrating high efficiency, even in complex scenarios. This tool enables focused allocation of computational resources for traffic light optimization and is particularly valuable for prioritizing emergency vehicles. Our findings make a significant contribution to traffic management strategies by offering a scalable and efficient tool that bridges critical gaps in current research. As urban areas continue to grow, this algorithm represents a step forward in developing sustainable solutions for modern transportation challenges.
PB Multidisciplinary Digital Publishing Institute (MDPI)
SN 2079-8954
YR 2025
FD 2025
LK http://hdl.handle.net/10498/37245
UL http://hdl.handle.net/10498/37245
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026