2300(17-01) - Development of Intelligent Vehicle Counting and Classification Sensor (iVCCS)

Traffic monitoring is an integral part of any transportation system network. Providing reliable, real-time traffic surveillance is crucial for such 21st century systems. Timely data facilitates instantaneous decision-making; maximizes existing transportation infrastructure capacity; and improves roadway efficiency, making transportation systems safe, efficient, and more reliable for the anticipated rapidly approaching era of smart cities. Vehicle-counting and classification data play a vital role in designing roadways and bridges; predicting freight; scheduling maintenance operations for resurfacing, reconditioning, and reconstruction of pavement; planning traffic; developing weight enforcement strategies; and analyzing road safety and environmental impact, among a number of other purposes. This research aims at developing and implementing a novel intelligent wireless sensor for vehicle counting and classification which integrates state-of-the-art embedded wireless sensor networks (WSN) and smart sensors (i.e., magnetometer and accelerometer) for implementation of various traffic monitoring applications. Successful development of the wireless sensor node—aimed at accurate vehicle detection, counting, and classifications—will commence a new method of temporary traffic data collection. The new system will eliminate the cumbersome installation and utilization of hoses, thus, improve the quality of collected data and increase the efficiency of temporary data collection. Furthermore, minor hardware and software modifications will ensure the development of a system that will improve work zone safety by monitoring real-time traffic on roadways as vehicles approach work zones.


    • English


    • Status: Active
    • Contract Numbers:

      SPR Implementation 2300(17-01)


    • Sponsor Organizations:

      Oklahoma Department of Transportation

      200 NE 21st Street
      Oklahoma City, OK  United States  73105
    • Project Managers:

      Fridrich, Aaron

      Hook, Gary

    • Performing Organizations:

      University of Oklahoma, Norman

      School of Electrical and Computer Engineering
      Norman, OK  United States  73019
    • Principal Investigators:

      Refai, Hazem

    • Start Date: 20171001
    • Expected Completion Date: 20180930
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01622701
    • Record Type: Research project
    • Source Agency: Oklahoma Department of Transportation
    • Contract Numbers: SPR Implementation 2300(17-01), SPRY-0010(071)RS
    • Files: RiP, STATEDOT
    • Created Date: Jan 18 2017 3:07PM