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...
- 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/
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Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| title |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| spellingShingle |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system 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 |
| title_short |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| title_full |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| title_fullStr |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| title_full_unstemmed |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| title_sort |
Mathematical model for assigning an optimal frequency of buses in an integrated transport system |
| dc.contributor.editor.none.fl_str_mv |
Serrano C. J.E. Martínez-Santos, Juan Carlos |
| dc.subject.keywords.none.fl_str_mv |
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 |
| topic |
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 |
| description |
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. |
| publishDate |
2018 |
| dc.date.issued.none.fl_str_mv |
2018 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:35Z |
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2020-03-26T16:32:35Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_c94f |
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Conferencia |
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Communications in Computer and Information Science; Vol. 885, pp. 70-82 |
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9783319989976 |
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18650929 |
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https://hdl.handle.net/20.500.12585/8908 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-319-98998-3_6 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57204067041 26325154200 |
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Communications in Computer and Information Science; Vol. 885, pp. 70-82 9783319989976 18650929 10.1007/978-3-319-98998-3_6 Universidad Tecnológica de Bolívar Repositorio UTB 57204067041 26325154200 |
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https://hdl.handle.net/20.500.12585/8908 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.conferencedate.none.fl_str_mv |
26 September 2018 through 28 September 2018 |
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http://purl.org/coar/access_right/c_16ec |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/restrictedAccess |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
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restrictedAccess |
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Recurso electrónico |
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application/pdf |
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Springer Verlag |
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Springer Verlag |
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13th Colombian Conference on Computing, CCC 2018 |
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Serrano C. J.E.Martínez-Santos, Juan CarlosQuintero J.S.M.Martínez Santos J.C.2020-03-26T16:32:35Z2020-03-26T16:32:35Z2018Communications in Computer and Information Science; Vol. 885, pp. 70-82978331998997618650929https://hdl.handle.net/20.500.12585/890810.1007/978-3-319-98998-3_6Universidad Tecnológica de BolívarRepositorio UTB5720406704126325154200This 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.Recurso electrónicoapplication/pdfengSpringer Verlaghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054370898&doi=10.1007%2f978-3-319-98998-3_6&partnerID=40&md5=05701195cd4ba947890a5c65705e245013th Colombian Conference on Computing, CCC 2018Mathematical model for assigning an optimal frequency of buses in an integrated transport systeminfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fFrequency settingMathematical modelPublic transportationTransportationWaiting timeBusesEstimationHeuristic methodsMathematical modelsOptimizationTransportationTransportation routesTravel timeBus frequencyFrequency settingIntegrated transportOptimal frequencyPublic transportationPublic transportation systemsUse-caseWaiting-timeBus transportation26 September 2018 through 28 September 2018Ceder, A., Wilson, N.H.M., Bus network design (1986) Transp. Res. Part B: Methodol., 20 (4), pp. 331-344Chriqui, C., Robillard, P., Common bus lines (1975) Transp. Sci., 9 (2), pp. 115-121Han, A.F., Wilson, N.H.M., The allocation of buses in heavily utilized networks with overlapping routes (1982) Transp. Res. Part B: Methodol., 16 (3), pp. 221-232Huang, Z., Ren, G., Liu, H., Optimizing bus frequencies under uncertain demand: Case study of the transit network in a developing city (2013) Math. Probl. Eng., 10 (2013)John, M.P., (2016) Metaheuristics for Designing Efficient Routes & Schedules for Urban Transportation Networks, , Ph.D. thesis, Cardiff UniversityMueller, N., Urban and transport planning related exposures and mortality: A health impact assessment for cities (2017) Environ. Health Perspect., 125 (1), p. 89Parbo, J., Nielsen, O.A., Prato, C.G., User perspectives in public transport timetable optimisation (2014) Transp. Res. Part C: Emerg. Technol., 48, pp. 269-284Rasmussen, T.K., Anderson, M.K., Nielsen, O.A., Prato, C.G., Timetable-based simulation method for choice set generation in large-scale public transport networks (2016) Eur. J. Transp. Infrastruct. Res., 16 (3), pp. 467-489Schéele, S., A supply model for public transit services (1980) Transp. Res. Part B: Methodol., 14 (1), pp. 133-146Song, B., Wynter, L., (2017) Real-Time Public Transport Service-Level Monitoring Using Passive WIFI: A Spectral Clustering Approach for Train Timetable EstimationWagale, M., Singh, A.P., Sarkar, A.K., Arkatkar, S., Real-time optimal bus scheduling for a city using a DTR model (2013) Procedia-Soc. Behav. Sci., 104, pp. 845-854http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8908/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8908oai:repositorio.utb.edu.co:20.500.12585/89082023-05-26 16:30:20.297Repositorio Institucional UTBrepositorioutb@utb.edu.co |
