PocketParker: Pocketsourcing parking lot availability

Anandatirtha Nandugudi, Taeyeon Ki, Carl Nuessle, Geoffrey Challen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Searching for parking spots generates frustration and pollution. To address these parking problems, we present PocketParker, a crowdsourcing system using smart- phones to predict parking lot availability. PocketParker is an example of a subset of crowdsourcing we call pocket- sourcing. Pocketsourcing applications require no ex- plicit user input or additional infrastructure, running eectively without the phone leaving the user's pocket. PocketParker detects arrivals and departures by lever- Aging existing activity recognition algorithms. Detected events are used to maintain per-lot availability mod- els and respond to queries. By estimating the number of drivers not using PocketParker, a small fraction of drivers can generate accurate predictions. Our evalua- Tion shows that PocketParker quickly and correctly de- Tects parking events and is robust to the presence of hid- den drivers. Camera monitoring of several parking lots as 105 PocketParker users generated 10;827 events over 45 days shows that PocketParker was able to correctly predict lot availability 94% of the time.

Original languageEnglish (US)
Title of host publicationUbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery
Pages963-973
Number of pages11
ISBN (Electronic)9781450329682
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
Duration: Sep 13 2014Sep 17 2014

Publication series

NameUbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
Country/TerritoryUnited States
CitySeattle
Period9/13/149/17/14

Keywords

  • Crowdsourcing
  • Parking
  • Smartphone sensing

ASJC Scopus subject areas

  • Software

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