A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time
The passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding...
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| প্রধান লেখক: | |
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| অন্যান্য লেখক: | , , |
| বিন্যাস: | article |
| ভাষা: | ইংরেজি |
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2012
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://ridda2.utp.ac.pa/handle/123456789/2400 |
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| _version_ | 1869652463741566976 |
|---|---|
| author | Berbey Álvarez, Aranzazu |
| author2 | Galán, Ramón Sanz Bobi, Juan de Dios Caballero, Rony |
| author2_role | author author author |
| author_browse | Berbey Álvarez, Aranzazu Caballero, Rony Galán, Ramón Sanz Bobi, Juan de Dios |
| author_facet | Berbey Álvarez, Aranzazu Galán, Ramón Sanz Bobi, Juan de Dios Caballero, Rony |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Berbey Álvarez, Aranzazu Galán, Ramón Sanz Bobi, Juan de Dios Caballero, Rony |
| dc.date.none.fl_str_mv | 2012-07-04 2012-07-04 2017-08-01T16:38:01Z 2017-08-01T16:38:01Z 2017-08-01T16:38:01Z 2017-08-01T16:38:01Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://ridda2.utp.ac.pa/handle/123456789/2400 http://ridda2.utp.ac.pa/handle/123456789/2400 |
| dc.language.none.fl_str_mv | eng eng |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties |
| dc.title.none.fl_str_mv | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | The passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding time in mass transportation systems in the presence of uncertainties. The applied technique combines origin destination matrices approach with the application of artificial intelligence. This new approach allows the inclusion of some intuitive knowledge provided by a fuzzy logic inference motor to predict the flow demand of passengers’ trips, alighting and boarding time passenger cars in explicit stations. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | lrtest_5fcc474f35d3edfff4c65c04e57a4745 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/2400 |
| publishDate | 2012 |
| publishDateSort | 2012 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| spelling | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling TimeBerbey Álvarez, AranzazuGalán, RamónSanz Bobi, Juan de DiosCaballero, Ronypassengers’ flow modellingfuzzy logic inferenceartificial intelligenceuncertaintiespassengers’ flow modellingfuzzy logic inferenceartificial intelligenceuncertaintiesThe passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding time in mass transportation systems in the presence of uncertainties. The applied technique combines origin destination matrices approach with the application of artificial intelligence. This new approach allows the inclusion of some intuitive knowledge provided by a fuzzy logic inference motor to predict the flow demand of passengers’ trips, alighting and boarding time passenger cars in explicit stations.The passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding time in mass transportation systems in the presence of uncertainties. The applied technique combines origin destination matrices approach with the application of artificial intelligence. This new approach allows the inclusion of some intuitive knowledge provided by a fuzzy logic inference motor to predict the flow demand of passengers’ trips, alighting and boarding time passenger cars in explicit stations.2017-08-01T16:38:01Z2017-08-01T16:38:01Z2017-08-01T16:38:01Z2017-08-01T16:38:01Z2012-07-042012-07-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://ridda2.utp.ac.pa/handle/123456789/2400http://ridda2.utp.ac.pa/handle/123456789/2400engenghttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/24002021-07-06T15:34:51Z |
| spellingShingle | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time Berbey Álvarez, Aranzazu passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties |
| status_str | publishedVersion |
| title | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| title_full | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| title_fullStr | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| title_full_unstemmed | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| title_short | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| title_sort | A Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Time |
| topic | passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties passengers’ flow modelling fuzzy logic inference artificial intelligence uncertainties |
| url | http://ridda2.utp.ac.pa/handle/123456789/2400 |