Fine Grained 'Automatic Vehicle Classification' System Development for Accurately Measuring Passenger-Freight Interactions

This research proposal targets the design of vehicular road sensing networks used in the framework for Intelligent Transportation Systems (ITS). The principal investigator (PI) will develop machine-learning models, optimized powersaving algorithms, communications protocols, and a low-power sensing platform to yield a novel and modular multi-node system for the purpose of “automatic vehicular detection and classification” (motorcycles, passenger cars, buses, trucks, etc.). The PI proposes to create smart highways by implanting wireless Micro-Electro-Mechanical System (MEMS) sensors, which will act like neurons to collect traffic data for vehicular movement. The proposed smart sensing and data interpretation system for smart roadways will be scalable, significantly cost-effective, maintain a small foot-print, and will be capable of detecting and classifying a vehicle in real-time. This research will focus on all levels of system design from architecture to computation to communication design.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    California Department of Transportation

    1227 O Street
    Sacramento, CA  United States  95843

    Office of the Assistant Secretary for Research and Technology

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

    Deguzman, Victoria

  • Performing Organizations:

    National Center for Metropolitan Transportation Research

    University of Southern California
    650 Childs Way, RGL 107
    Los Angeles, CA  United States  90089-0626
  • Principal Investigators:

    Mozumdar, Mohammad

  • Start Date: 20170101
  • Expected Completion Date: 20171231
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01618764
  • Record Type: Research project
  • Source Agency: National Center for Metropolitan Transportation Research
  • Contract Numbers: 65A0533
  • Files: UTC, RiP
  • Created Date: Dec 12 2016 9:52AM