Carpool Matching by Preferences for the CSUSM Community
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| Název: | Carpool Matching by Preferences for the CSUSM Community |
|---|---|
| Autoři: | Adriana Caetano |
| Přispěvatelé: | Ali Ahmadinia, Sreedevi Gutta |
| Informace o vydavateli: | California State University, San Marcos Science, Technology, Engineering & Math Computer Science & Information Systems |
| Rok vydání: | 2022 |
| Témata: | Long-term carpooling, Greedy approach, Preferences matching, Heuristic compatibility function |
| Popis: | Carpooling is an alternative transportation mode where two people that are not from the same household share a vehicle to get to a destination. It reduces traffic and emissions, it helps reducing costs for users, and it can be a social time for participants. University students can benefit from carpooling, not only on transportation savings, but also in strengthening relationships with other students. However, creating long-term carpooling for university students with varied schedules and spread-out locations is not a simple task. In this project, we created an automated tool to create carpools for the CSUSM community based on user's profile and preferences. We take a greedy approach, to pair drivers with riders when searching location and schedule matches, with a heuristic function, to compute their compatibility score. We have pre-processed routes from most common locations saved in the database, which speeds up the computation time. For the target pool size of 1500 candidates, carpools can be formed in less than a minute and over 80% of the candidates are able to find ride-mates. |
| Druh dokumentu: | thesis |
| Jazyk: | English |
| Relation: | http://hdl.handle.net/20.500.12680/zp38wk852 |
| Dostupnost: | https://hdl.handle.net/20.500.12680/zp38wk852 |
| Přístupové číslo: | edsbas.6F6315DF |
| Databáze: | BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.6F6315DF RelevancyScore: 777 AccessLevel: 3 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 777.000732421875 |
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| Items | – Name: Title Label: Title Group: Ti Data: Carpool Matching by Preferences for the CSUSM Community – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Adriana+Caetano%22">Adriana Caetano</searchLink> – Name: Author Label: Contributors Group: Au Data: Ali Ahmadinia<br />Sreedevi Gutta – Name: Publisher Label: Publisher Information Group: PubInfo Data: California State University, San Marcos<br />Science, Technology, Engineering & Math<br />Computer Science & Information Systems – Name: DatePubCY Label: Publication Year Group: Date Data: 2022 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Long-term+carpooling%22">Long-term carpooling</searchLink><br /><searchLink fieldCode="DE" term="%22Greedy+approach%22">Greedy approach</searchLink><br /><searchLink fieldCode="DE" term="%22Preferences+matching%22">Preferences matching</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic+compatibility+function%22">Heuristic compatibility function</searchLink> – Name: Abstract Label: Description Group: Ab Data: Carpooling is an alternative transportation mode where two people that are not from the same household share a vehicle to get to a destination. It reduces traffic and emissions, it helps reducing costs for users, and it can be a social time for participants. University students can benefit from carpooling, not only on transportation savings, but also in strengthening relationships with other students. However, creating long-term carpooling for university students with varied schedules and spread-out locations is not a simple task. In this project, we created an automated tool to create carpools for the CSUSM community based on user's profile and preferences. We take a greedy approach, to pair drivers with riders when searching location and schedule matches, with a heuristic function, to compute their compatibility score. We have pre-processed routes from most common locations saved in the database, which speeds up the computation time. For the target pool size of 1500 candidates, carpools can be formed in less than a minute and over 80% of the candidates are able to find ride-mates. – Name: TypeDocument Label: Document Type Group: TypDoc Data: thesis – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: http://hdl.handle.net/20.500.12680/zp38wk852 – Name: URL Label: Availability Group: URL Data: https://hdl.handle.net/20.500.12680/zp38wk852 – Name: AN Label: Accession Number Group: ID Data: edsbas.6F6315DF |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: Long-term carpooling Type: general – SubjectFull: Greedy approach Type: general – SubjectFull: Preferences matching Type: general – SubjectFull: Heuristic compatibility function Type: general Titles: – TitleFull: Carpool Matching by Preferences for the CSUSM Community Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Adriana Caetano – PersonEntity: Name: NameFull: Ali Ahmadinia – PersonEntity: Name: NameFull: Sreedevi Gutta IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 Identifiers: – Type: issn-locals Value: edsbas |
| ResultId | 1 |
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