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Lokaverkefni (Bakkalár)

Háskólinn í Reykjavík > Tæknisvið / School of Technology > BSc Tölvunarfræðideild / Department of Computer Science >

Vinsamlegast notið þetta auðkenni þegar þið vitnið til verksins eða tengið í það: http://hdl.handle.net/1946/41884

Titill: 
  • Titill er á ensku Demand forecasting for Hopp's e-scooter fleet
Námsstig: 
  • Bakkalár
Útdráttur: 
  • Útdráttur er á ensku

    Cities all around the world are dealing with the adverse effects of automobile travel and are therefore moving towards a more sustainable urban transportation system. Hopp is a micromobility platform launched by a small team of software developers in Iceland in 2019. In this project, we designed, implemented, and tested a machine learning tool that predicts the locational demand for Hopp's e-scooters in the near future. This tool aims to help reduce expenses, increase the number of rented scooters, and improve the reliability of the service.

Samþykkt: 
  • 13.6.2022
URI: 
  • http://hdl.handle.net/1946/41884


Skrár
Skráarnafn Stærð AðgangurLýsingSkráartegund 
user-guide.pdf1.68 MBOpinnViðaukiPDFSkoða/Opna
operation-guide.pdf118.37 kBOpinnViðaukiPDFSkoða/Opna
risk_assessment.pdf105.44 kBOpinnViðaukiPDFSkoða/Opna
final-report.pdf13.86 MBOpinnHeildartextiPDFSkoða/Opna