Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/35543
Title: COSMO - Using error to optimize the city
Authors: Fernandes, Gustavo Nuno Vieira 
Orientador: Machado, Fernando Jorge Penousal Martins
Keywords: inverted shortest path; evolutionary computation; collaborative route planning; intelligent transport systems
Issue Date: 16-Sep-2013
Serial title, monograph or event: COSMO - Using error to optimize the city
Place of publication or event: Coimbra
Abstract: Cities across the world are ghting a losing battle against the increasingly large tides of private and public transports that daily roam urban road networks. In an e ort to tackle this problem, we present a thorough research of the current tra c management and routing algorithm paradigm, and compare the available tra c simulator options. We also elaborate a plan of action by establishing goals, tasks and milestones. We propose an evolutionary approach to generate a behavior model, based on the inverted shortest path, to later use in SUMO (Simulator of Urban Mobility).
Description: Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
URI: http://hdl.handle.net/10316/35543
Rights: openAccess
Appears in Collections:UC - Dissertações de Mestrado
FCTUC Eng.Informática - Teses de Mestrado

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