Crowd-Based Smart Parking A Case Study For Mobile Crowdsourcing

Crowdsourcing for on-street smart parking

Authors: Xiao ChenUniversity of British Columbia, Vancouver, BC, Canada
Elizeu Santos-NetoUniversity of British Columbia, Vancouver, BC, Canada
Matei RipeanuUniversity of British Columbia, Vancouver, BC, Canada
Published in:

 
· Proceeding
DIVANet '12 Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Pages 1-8

Paphos, Cyprus — October 21 - 22, 2012
ACMNew York, NY, USA ©2012
table of contents ISBN: 978-1-4503-1625-5 doi>10.1145/2386958.2386960
2012 Article
  Bibliometrics
· Citation Count: 7
· Downloads (cumulative): 623
· Downloads (12 Months): 79
· Downloads (6 Weeks): 11


collaborative sensingmobile crowdsourcingorganizing principles for web applicationssmart parking

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  • 1.

    Brabham, D.C., et al.: Crowdsourcing Public Participation in Transit Planning: Preliminary Results from Next Stop Design Case. In: TRB 89th Annual Meeting Compendium (2010)Google Scholar

  • 2.

    Sorokin, A., Forsyth, D.: Utility data annotation with Amazon Mechanical Turk. In: Computer Vision and Pattern Recognition Workshops (2008)Google Scholar

  • 3.

    White, P.: No Vacancy: Park Slopes Parking Problem And How to Fix It, http://www.Transalt.org/newsroom/releases/126

  • 4.

    Kessler, S.: How Smarter Parking Technology Will Reduce Traffic Congestion (2011), http://mashable.com/2011/04/13/smart-Parking-Tech/

  • 5.

    Yan, T., et al.: CrowdPark: A Crowdsourcing-based Parking Reservation System for Mobile Phones. UMASS Technical Report, Tech. Rep. UM-CS-2011-001 (2011)Google Scholar

  • 6.

    Waze, http://www.Waze.Com/

  • 7.

    GasBuddy, Find Low Gas Prices in the USA and Canada, http://gasbuddy.Com

  • 8.

    Kincaid, J.: Googles Open Spot Makes Parking A Breeze, Assuming Everyone Turns Into A Good Samaritan, http://techcrunch.com/2010/07/09/google-Parking-Open-Spot/

  • 9.

    Li, B., et al.: Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset. In: Pervasive Computing and Communications Workshops (2011)Google Scholar

  • 10.

    Lamba, N.: Social Media Trackles Traffic (2010), http://www.Wired.com/autopia/2010/12/ibm-Thoughts-on-a-Smarter-Planet-8/

  • 11.

    Kanhere, S.S.: Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces. In: Mobile Data Management, MDM (2011)Google Scholar

  • 12.

    Reddy, S., et al.: Image Browsing, Processing and Clustering for Participatory Sensing: Lessons from a DietSense Prototype. In: Workshop on Embedded Networked Sensors (2007)Google Scholar

  • 13.

    Mun, M., et al.: PEIR, the Personal Environmental Impact Report, as a Platform for Participatory Sensing Systems Research. In: MobiSys 2009 (2009)Google Scholar

  • 14.

    Miluzzo, E., et al.: Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application. In: ACM SenSys, USA (November 2008)Google Scholar

  • 15.

    Chinrungrueng, J., et al.: Smart Parking: An Application of Optical Wireless Sensor Network. In: Applications and the Internet Workshops (2007)Google Scholar

  • 16.

    Lu, R., et al.: SPARK: A New VANET-Based Smart Parking Scheme for Large Parking Lots. In: INFOCOM 2009, pp. 1413–1421. IEEE (2009)Google Scholar

  • 17.

    Geng, Y., Cassandras, C.G.: A new “smart parking” system based on optimal resource allocation and reservations. In: Intelligent Transportation Systems, ITSC (2011)Google Scholar

  • 18.

    SFMTA, SFPark- About the Project, http://sfpark.org/about-the-Project/

  • 19.

    Caliskan, M., et al.: Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks. In: IEEE 65th Vehicular Technology Conference, VTC 2007, pp. 277–281 (Spring 2007)Google Scholar

  • 20.

    Anonymous “Parking Meter Rates and Time Limits”, http://vancouver.ca/vanmap/p/parkingMeter.html

  • 21.

    Behrisch, M., et al.: SUMO - Simulation of Urban MObility: An Overview. In: The Third International Conference on Advances in System Simulation, SIMUL 2011 (2011)Google Scholar

  • 22.

    Tsang, F.W.K., et al.: Improved modeling of park-and-ride transfer time: Capturing the within-day dynamics. Journal of Advanced Transportation 39 (2005)Google Scholar

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