User-centric Interdependent Urban Systems: Using Energy Use Data and Social Media Data to Improve Mobility

Central to smart cities is the complex nature of interrelationships among various urban systems. Linking all urban systems is the system users. The individual daily activities engages using those urban systems at certain time of day and locations. There may exist clear spatial and temporal correlations among usage patterns of all urban systems. The objective of this research is to fuse and analyze massive data from transportation, energy, and social media systems to discover the spatio-temporal correlations of usage patterns among those systems. Two questions will be addressed using the data collected in the City of Pittsburgh and Carnegie Mellon University (CMU) buildings energy use. 1) What can we tell about the morning commute by knowing households’ utility or social media use the night before? and how can we optimally manage the morning commute using this new information? 2) What can we tell about the evening commute by knowing building energy use or social media activities during the daytime? and how can we optimally manage the evening commute using this new information?

Language

  • English

Project

  • Status: Active
  • Funding: $95000
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Mobility21 National USDOT UTC for Mobility of Goods and People

    Carnegie Mellon University
    500
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Mobility21 National USDOT UTC for Mobility of Goods and People

    Carnegie Mellon University
    500
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Ehrlichman, Courtney

  • Performing Organizations:

    Carnegie Mellon University

    Pittsburgh, PA  United States 
  • Principal Investigators:

    Qian, Sean

  • Start Date: 20170701
  • Expected Completion Date: 20180630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645913
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Sep 8 2017 10:46AM