Publicação
Bus fleet management optimization using the augmented weighted Tchebycheff method
| Resumo: | This paper presents a multi-objective optimization model for the buses fleet management problem. This model is solved using the Augmented Weighted Tchebycheff method. The aim is to minimize three objective functions, Z1 (CO2 emissions), Z2 (other types of emissions) and Z3 (total costs), for a bus fleet that uses four types of buses: diesel, electric bus, electric bus of fast charging, and Compressed Natural Gas (CNG). A public transport (PT) company of Joinville, Brazil, where it operates three different PT lines, owns the fleet. The respective data was modelled and optimized using the MS Excel solver. Results provided interesting insights concerning the most adequate strategy for bus selection according with public transport line characteristics and taking into account trade-off between costs and emissions. The results indicate that optimal solutions include the diesel in the Itinga line and the CNG in the South line. The electric bus is more adequate in the South-North line due to the large number of stops and low average speed. However, when the costs are disregarded, in some scenarios, the best option is the electric bus for all lines. |
|---|---|
| Autores principais: | Machado, William |
| Outros Autores: | Costa, Lino; Carvalho, Maria Sameiro; Telhada, José |
| Assunto: | Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866877154009022464 |
|---|---|
| author | Machado, William |
| author2 | Costa, Lino Carvalho, Maria Sameiro Telhada, José |
| author2_role | author author author |
| author_facet | Machado, William Costa, Lino Carvalho, Maria Sameiro Telhada, José |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Machado, William\"},{\"Person.name\":\"Costa, Lino\"},{\"Person.name\":\"Carvalho, Maria Sameiro\"},{\"Person.name\":\"Telhada, José\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Machado, William Costa, Lino Carvalho, Maria Sameiro Telhada, José |
| datacite.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| datacite.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| datacite.titles.title.fl_str_mv | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Machado, William Costa, Lino Carvalho, Maria Sameiro Telhada, José |
| dc.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| dc.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/67154 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| dc.title.fl_str_mv | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | This paper presents a multi-objective optimization model for the buses fleet management problem. This model is solved using the Augmented Weighted Tchebycheff method. The aim is to minimize three objective functions, Z1 (CO2 emissions), Z2 (other types of emissions) and Z3 (total costs), for a bus fleet that uses four types of buses: diesel, electric bus, electric bus of fast charging, and Compressed Natural Gas (CNG). A public transport (PT) company of Joinville, Brazil, where it operates three different PT lines, owns the fleet. The respective data was modelled and optimized using the MS Excel solver. Results provided interesting insights concerning the most adequate strategy for bus selection according with public transport line characteristics and taking into account trade-off between costs and emissions. The results indicate that optimal solutions include the diesel in the Itinga line and the CNG in the South line. The electric bus is more adequate in the South-North line due to the large number of stops and low average speed. However, when the costs are disregarded, in some scenarios, the best option is the electric bus for all lines. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/6804b96b-c7ee-4472-935c-7caaba02ccff/download |
| id | rum_9dfd3e4dc4b8a49aafdd673007abc9a5 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/67154 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/67154 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Machado, William Costa, Lino Carvalho, Maria Sameiro Telhada, José |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Springer |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engSpringerporThis paper presents a multi-objective optimization model for the buses fleet management problem. This model is solved using the Augmented Weighted Tchebycheff method. The aim is to minimize three objective functions, Z1 (CO2 emissions), Z2 (other types of emissions) and Z3 (total costs), for a bus fleet that uses four types of buses: diesel, electric bus, electric bus of fast charging, and Compressed Natural Gas (CNG). A public transport (PT) company of Joinville, Brazil, where it operates three different PT lines, owns the fleet. The respective data was modelled and optimized using the MS Excel solver. Results provided interesting insights concerning the most adequate strategy for bus selection according with public transport line characteristics and taking into account trade-off between costs and emissions. The results indicate that optimal solutions include the diesel in the Itinga line and the CNG in the South line. The electric bus is more adequate in the South-North line due to the large number of stops and low average speed. However, when the costs are disregarded, in some scenarios, the best option is the electric bus for all lines.application/pdfporBus fleet management optimization using the augmented weighted Tchebycheff methodMachado, WilliamCosta, LinoCarvalho, Maria SameiroTelhada, JoséHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf978-3-319-71582-7ISSNIsPartOf2194-1009DOIIsPartOf10.1007/978-3-319-71583-4_142018-01-012020-09-29T14:17:03Z10000-01-01T00:00:00Z2018-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/67154http://purl.org/coar/access_right/c_16ecrestricted accessAugmented weighted tchebycheffBuses fleet management problemGhg emissions485390 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/6804b96b-c7ee-4472-935c-7caaba02ccff/download |
| spellingShingle | Bus fleet management optimization using the augmented weighted Tchebycheff method Machado, William Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| status | SINGLETON |
| subject.fl_str_mv | Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| title | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| title_full | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| title_fullStr | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| title_full_unstemmed | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| title_short | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| title_sort | Bus fleet management optimization using the augmented weighted Tchebycheff method |
| topic | Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| topic_facet | Augmented weighted tchebycheff Buses fleet management problem Ghg emissions |
| url | https://hdl.handle.net/1822/67154 |
| visible | 1 |