Título: | SIMULATION AND MATHEMATICAL PROGRAMMING MODELS APPLIED IN THE ANALYSIS AND OPTIMIZATION OF PASSENGER TRANSPORT IN LINE 4 OF THE RIO DE JANEIRO SUBWAY | ||||||||||||
Autor: |
LUIZ EDUARDO COTTA MONTEIRO |
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Colaborador(es): |
HUGO MIGUEL VARELA REPOLHO - Orientador |
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Catalogação: | 01/AGO/2018 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=34630&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=34630&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.34630 | ||||||||||||
Resumo: | |||||||||||||
Subway systems play an important role in passenger transportation in large
urban centers due to their high transport capacity, low pollutant content and for
being relatively free of traffic congestion. The headway - intervals between trains
– is an important variable in service planning because it influences the capacity
offered and cost of operation. This work develops a discrete event simulation
model applied in the analysis of the structure, capacity and operation of Line 4 of
the Rio de Janeiro subway system. Experiments with different headway times are
performed in order to measure and evaluate the system performance in meeting
the forecasted demand. A mixed integer linear programming model (MIP) is
developed in order to find optimal headway values for its operation. The models
consider the train capacity constraints, travel times contrainsts and the dynamic
passenger demand at each station. Data from the Demand Study for Line 4 (FGV,
2011) are used with the demand forecast for the morning peak period of 2016. The
work allows to conclude that the dimensioning of the capacity of the subway Line
4 efficiently meets the projected demand for the year 2016 and that the simulation
and optimization models developed can be adapted and used to support the
planning and operation of other metro systems.
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