Green Navigation: A Big Data Approach Towards Sustainable Transportation

This project addresses the need for big data solutions that reduce the carbon emissions and energy footprint of the transportation sector by providing computational tools for informing driver decisions. These cyber-tools take physical models of vehicles, roads and traffic into account to produce advice that enhances transportation sustainability, and thus will have significant contributions to cyber-physical transportation systems. According to the US Energy Information Administration, the transportation sector currently accounts for one of the largest shares of energy consumption in the nation, among all sectors. A research investment is needed to offer computationally-enabled solutions for drivers to reduce their energy cost, emissions, delay, and carbon footprint. Towards this end, this proposal develops a system that gives individualized navigation advice to drivers. Currently, vehicular traffic is managed largely in bulk. Traffic lights, route advisories, and other traffic regulators operate in the spirit of broadcast, offering the same feedback to all. In contrast, with increasing proliferation of computational devices and global positioning system (GPS) navigation systems in vehicles with their own networking, storage, and processing capabilities, it becomes possible to customize real-time information that flows back to drivers, thereby allowing individuals to make more informed energy-saving and cost-saving decisions. Such individualization will result in significant total energy and emissions savings.

Language

  • English

Project

  • Status: Active
  • Funding: $74638
  • Contract Numbers:

    DTRT13-G-UTC48

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Su, Lu

    Qiao, Chunming

  • Performing Organizations:

    Transportation Informatics University Transportation Center

    204 Ketter Hall
    University at Buffalo
    Buffalo, NY  United States  14260
  • Principal Investigators:

    Lu, Su

    Qiao, Chunming

  • Start Date: 20170901
  • Expected Completion Date: 20180831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01652076
  • Record Type: Research project
  • Source Agency: Transportation Informatics University Transportation Center
  • Contract Numbers: DTRT13-G-UTC48
  • Files: UTC, RiP
  • Created Date: Nov 27 2017 2:47PM