Mathematical model for assigning an optimal frequency of buses in an integrated transport system

This paper proposes a mathematical model to estimate the frequency setting of the buses for a specific route on any given hour in public transportation systems. This model can be used for three different purposes: determine how many buses a route needs to fully satisfy its demand, estimate an optima...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8908
Acceso en línea:
https://hdl.handle.net/20.500.12585/8908
Palabra clave:
Frequency setting
Mathematical model
Public transportation
Transportation
Waiting time
Buses
Estimation
Heuristic methods
Mathematical models
Optimization
Transportation
Transportation routes
Travel time
Bus frequency
Frequency setting
Integrated transport
Optimal frequency
Public transportation
Public transportation systems
Use-case
Waiting-time
Bus transportation
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:This paper proposes a mathematical model to estimate the frequency setting of the buses for a specific route on any given hour in public transportation systems. This model can be used for three different purposes: determine how many buses a route needs to fully satisfy its demand, estimate an optimal bus frequency to satisfy the maximum amount of demand when the number of buses is fixed and estimate an optimal bus frequency to satisfy a given percentage of demand. It receives three entries: number of buses assigned to the route, which can vary or not depends on its purpose, the travel time for the route and the route’s demand. A series of equations are proposed using a heuristic method, which allows calculating the frequency of a route at any given hour of the day. A use case experiment is applied to help understand how to use the model on it’s different suggested uses. Additionally, exposes how the proposed model could improve an actual one. The results of this experiment case showed that the demand could be fulfilled using one of this model’s cases. © Springer Nature Switzerland AG 2018.