Cooperation strategies featuring optimization in the school transportation system in Bogota

The transport of students presents important challenges in the case of the city of Bogota, where an important cluster of schools is located in one zone, but there is only one road connecting these schools to residential zones. Thus, traffic congestion is high, generating long travel times for studen...

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Autores:
Rodríguez Parra, German Ricardo
Guerrero, William J.
Sarmiento Lepesqueur, Angélica
Tipo de recurso:
Article of investigation
Fecha de publicación:
2017
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1614
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1614
http://dx.doi.org/10.15446/dyna.v84n202.65391
Palabra clave:
Transporte escolar - Bogotá
Estimación de tráfico vehicular - Bogotá
Flujo de tráfico - Bogotá
School transport - Bogota
Traffic estimation - Bogota
Traffic flow - Bogota
School bus routing
Routing and scheduling
Heuristics
Traffic congestion
Mathematical models
Ruteo de buses escolares
Ruteo y secuenciación
Heurísticas
Congestión vehicular
Modelos matemáticos
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:The transport of students presents important challenges in the case of the city of Bogota, where an important cluster of schools is located in one zone, but there is only one road connecting these schools to residential zones. Thus, traffic congestion is high, generating long travel times for students, high operational costs, and mobility problems. This paper studies the impacts of a cooperative strategy between logistics operators using a mixed integer programming mathematical model, to find the optimal design of school routes on a network with the topology that describes the aforementioned road system. Two strategies are compared: a mixed loads strategy, where students from different schools share buses; and a single load strategy, where students from different schools cannot share buses. The objective is to minimize the total operational costs while satisfying the schools’ time windows. Comparative results of the two models using exact and heuristic approaches are presented.