Publication: Desarrollo dirigido por modelos para la simulación de tráfico rodado basada en agentes
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2016-06-30
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Universidad Complutense de Madrid
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Abstract
El tráfico rodado es un fenómeno importante en las sociedades modernas, de ahí la relevancia de su estudio. La complejidad de las relaciones entre los individuos y otros objetos involucrados en él, junto a la cantidad y variedad de variables y parámetros que le afectan, hacen que su análisis en un entorno real sea muy complejo y costoso. Las simulaciones de tráfico son una herramienta para abordar este problema. Permiten reducir la cantidad de datos reales a considerar y simplificar la complejidad de ciertas operaciones, y ofrecen un entorno controlado donde realizar los experimentos. Sin embargo, las simulaciones tienen también sus inconvenientes. Los modelos más genéricos requieren simplificaciones muy importantes que los alejan de la realidad plausible, centrándose en muy pocas características. Los modelos que consideran más factores deben ser muy específicos para conseguir mantener tratable su especificación, análisis y complejidad computacional. Además, el desarrollo de estas simulaciones suele requerir expertos con diferentes perfiles (por ejemplo, en tráfico y en las plataformas de simulación). Esta heterogeneidad causa frecuentemente problemas de comunicación y comprensión en los equipos de desarrollo...
Road traffic is a very important phenomenon in modern societies, which makes its study highly relevant in multiple contexts. The complexity of the relationships among the people and other objects involved in it, along with the number and heterogeneity of variables and parameters that affect it, renders their analysis in real settings complex and costly. Traffic simulations appear as a tool to address the previous problems. They allow reducing the amount of actual data to consider, simplifying the complexity of certain operations, and presenting a controlled environment to carry out experimentation. However, simulations also present problems. The most general models make very important simplifications that consider only a few features, which produces concerns about their representation of a plausible reality. Models that consider more aspects need to be very specific in order to keep achievable their specification and study, and limit their computational complexity. Besides this, the development of these simulations usually demands experts from different fields (e.g. in traffic and simulation platforms). This heterogeneity frequently causes problems of communication and misunderstandings in development teams...
Road traffic is a very important phenomenon in modern societies, which makes its study highly relevant in multiple contexts. The complexity of the relationships among the people and other objects involved in it, along with the number and heterogeneity of variables and parameters that affect it, renders their analysis in real settings complex and costly. Traffic simulations appear as a tool to address the previous problems. They allow reducing the amount of actual data to consider, simplifying the complexity of certain operations, and presenting a controlled environment to carry out experimentation. However, simulations also present problems. The most general models make very important simplifications that consider only a few features, which produces concerns about their representation of a plausible reality. Models that consider more aspects need to be very specific in order to keep achievable their specification and study, and limit their computational complexity. Besides this, the development of these simulations usually demands experts from different fields (e.g. in traffic and simulation platforms). This heterogeneity frequently causes problems of communication and misunderstandings in development teams...
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Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Ingeniería del Software e Inteligencia Artificial, leída el 16-12-2015