Analytics for Parking Management and Congestion Reduction
Eric Mazumdar

Citation
Eric Mazumdar. "Analytics for Parking Management and Congestion Reduction". Talk or presentation, 5, November, 2015.

Abstract
As urban centers grow, transportation related inefficiencies are becoming more pronounced. One such example is the parking management in city centers. Working with Seattle Department of Transit (SDOT), we propose to address parking in downtown Seattle by developing spatio-temporal resource management solutions. In particular, we will use a variety of parking-related data obtained from SDOT to develop analytics in support of customer segmentation and occupancy modeling. Both of these near term goals will support the longer term goal of designing mechanisms to close the loop around the end user such as dynamic pricing schemes or incentives.

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Citation formats  
  • HTML
    Eric Mazumdar. <a
    href="http://www.cps-forces.org/pubs/109.html"
    ><i>Analytics for Parking Management and Congestion
    Reduction</i></a>, Talk or presentation,  5,
    November, 2015.
  • Plain text
    Eric Mazumdar. "Analytics for Parking Management and
    Congestion Reduction". Talk or presentation,  5,
    November, 2015.
  • BibTeX
    @presentation{Mazumdar15_AnalyticsForParkingManagementCongestionReduction,
        author = {Eric Mazumdar},
        title = {Analytics for Parking Management and Congestion
                  Reduction},
        day = {5},
        month = {November},
        year = {2015},
        abstract = {As urban centers grow, transportation related
                  inefficiencies are becoming more pronounced. One
                  such example is the parking management in city
                  centers. Working with Seattle Department of
                  Transit (SDOT), we propose to address parking in
                  downtown Seattle by developing spatio-temporal
                  resource management solutions. In particular, we
                  will use a variety of parking-related data
                  obtained from SDOT to develop analytics in support
                  of customer segmentation and occupancy modeling.
                  Both of these near term goals will support the
                  longer term goal of designing mechanisms to close
                  the loop around the end user such as dynamic
                  pricing schemes or incentives.},
        URL = {http://cps-forces.org/pubs/109.html}
    }
    

Posted by Carolyn Winter on 5 Nov 2015.
Groups: forces
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