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<dc:title>Improving BRT route design through code: The case of Bogotá’s BRT system, TransMilenio</dc:title>
<dc:creator>Ramírez Buitrago, Felipe Andrés</dc:creator>
<dc:creator>Correal Huertas, Nicolás Adolfo</dc:creator>
<dc:creator>Chala Penagos, Manuel Camilo</dc:creator>
<dc:creator>Hoyos Ruiz, Miguel Darío</dc:creator>
<dc:creator>Ochoa Díaz, Andrés Felipe</dc:creator>
<dc:creator>Rivera Pérez, Andrés Leonardo</dc:creator>
<dc:subject>Transporte público</dc:subject>
<dc:subject>Public transport</dc:subject>
<dc:subject>Ingeniería civil</dc:subject>
<dc:subject>Transportes</dc:subject>
<dc:subject>Civil engineering</dc:subject>
<dc:subject>Transportation</dc:subject>
<dc:description>Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos</dc:description>
<dc:description>This study presents the methodology used by TRANSMILENIO S.A. –the company in&#xd;
charge of managing the BRT lines in Bogotá, Colombia– to renew its operational design.&#xd;
TRANSMILENIO S.A. is increasing its bus fleet by acquiring higher capacity bi-articulated&#xd;
buses. This process demanded a redefinition of the frequencies, stops, and type of bus for all&#xd;
routes in the system. Therefore, a line scheme was selected based on the number of trips&#xd;
between corridors. A non-linear optimization model was then used to establish an initial&#xd;
route design that could satisfy passenger demand in the morning rush hour.&#xd;
Five algorithms were implemented to adjust the initial route design to the actual restrictions,&#xd;
namely, fleet and bus capacity at stops. The algorithms modified the type of bus employed,&#xd;
the defined stops of routes, and eliminated low demand routes. Different alternatives were&#xd;
tested for the execution order of algorithms. The alternative to implement was selected based&#xd;
on compliance of the defined restrictions. Algorithms were iteratively run. Between&#xd;
iterations, a trip assignment model was used to adjust route frequencies based on demand.&#xd;
The execution order of algorithms, its impact on the level of service indicators, and&#xd;
compliance of restrictions are part of this study's discussion. Particular relevance and effects&#xd;
of each algorithm are also analyzed. Both methodology and results might be tested, adapted,&#xd;
and improved in further studies by other BRT systems as a reference or input for their own&#xd;
route design process.</dc:description>
<dc:date>2022-09-23T07:38:46Z</dc:date>
<dc:date>2022-09-23T07:38:46Z</dc:date>
<dc:date>2021-07</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>978-84-18465-12-3</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/7050</dc:identifier>
<dc:identifier>10.36443/10259/7050</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>R-Evolucionando el transporte</dc:relation>
<dc:relation>http://hdl.handle.net/10259/6490</dc:relation>
<dc:relation>https://doi.org/10.36443/9788418465123</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>