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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  – Url: https://hdl.handle.net/20.500.12680/zp38wk852#
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  Label: Title
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  Data: Carpool Matching by Preferences for the CSUSM Community
– Name: Author
  Label: Authors
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  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
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  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
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  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>
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  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.
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      – Text: English
    Subjects:
      – SubjectFull: Long-term carpooling
        Type: general
      – SubjectFull: Greedy approach
        Type: general
      – SubjectFull: Preferences matching
        Type: general
      – SubjectFull: Heuristic compatibility function
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      – TitleFull: Carpool Matching by Preferences for the CSUSM Community
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          Name:
            NameFull: Adriana Caetano
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            NameFull: Ali Ahmadinia
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            NameFull: Sreedevi Gutta
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              M: 01
              Type: published
              Y: 2022
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