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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: | https://hdl.handle.net/10316/35543 | Rights: | openAccess |
Appears in Collections: | UC - Dissertações de Mestrado FCTUC Eng.Informática - Teses de Mestrado |
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COSMO_Evolutionary Approach to Inverse Shortest Path in an Urban.pdf | 774.78 kB | Adobe PDF | View/Open |
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