Modelo de otimização multiobjetivo aplicado ao problema de localização de reboque para atendimento a incidentes em vias expressas
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Universidade Federal do Rio de Janeiro
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Road traffic congestion has been one of the main urban problems faced in recent decades. This is intensified through traffic incidents that generate irregular road interruptions and, consequently, non-recurrent congestion which increases vehicular pollutants, mainly carbon dioxide (CO2). In this context, tow trucks are key components for integrating incident detection, response and removal. Thus, this PhD dissertation seeks to explore tows trucks reallocation that response expressway incidents with the objective of maximizing the number of incidents serviced, minimizing the CO2 emission and minimizing the total cost of the operation. As constraints, we consider a maximum average time to response and a maximum available value of budget for the tow truck operation, which includes tows trucks rental and drivers wages. Avenida Brasil and Linha Vermelha, the main expressways in the city of Rio de Janeiro, were used as case study and their data were made available by the Traffic Engineering Company of the City of Rio de Janeiro (CET-Rio). For analysis purposes, 10,938 incidents occurred in the study area at 2018 were considered. The results show that our approach can provide effective solutions for the problem and that if the maximum time to response is restricted, the number of tow trucks has more influence on the operation, consequently, its cost is increased
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BALTAR, Marina Leite de Barros. Modelo de otimização multiobjetivo aplicado ao problema de localização de reboque para atendimento a incidentes em vias expressas. 2022. 105 f. Tese (Doutorado) - Programa de Pós-Graduação em Engenharia de Transportes, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 2022.
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