Diseño y aplicación de técnicas metaheurísticas para control de tráfico
[EN] The present work focuses on the application of metaheuristic techniques, specifically a genetic algorithm, for the optimization of the duration of the cycles of the traffic lights, for topologies of real environments of the cities. There is a fitness function based on the waiting times of the v...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/89912 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/89912 |
| Access Level: | acceso abierto |
| Palabra clave: | Inteligencia artificial Artificial intelligence Genetic algorithm Optimization Traffic Control de tráfico Optimización Metaheurísticas Técnicas inteligentes LENGUAJES Y SISTEMAS INFORMATICOS Máster Universitario en Inteligencia Artificial, Reconocimiento de Formas e Imagen Digital-Màster Universitari en Intel·ligència Artificial, Reconeixement de Formes i Imatge Digital |
| Sumario: | [EN] The present work focuses on the application of metaheuristic techniques, specifically a genetic algorithm, for the optimization of the duration of the cycles of the traffic lights, for topologies of real environments of the cities. There is a fitness function based on the waiting times of the vehicles, which together with the help of the evaluation through a microtraffic simulator, minimizes fuel consumption, travel time, waiting times and emission of CO2. |
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