Highway Travel Time Estimation with Captured In-vehicle Wi-Fi MAC Addresses: Mechanism, Challenges, Solutions and Applications

Passive sensors are now being applied in traffic performance measurement. The authors present an innovative approach to travel time estimation based on in-vehicle Wi-Fi Media Access Control (MAC) address capturing and matching at diverse locations. This novel approach has some similarity to traditional Bluetooth solutions, but the authors found that wi-fi sensors almost completely reduce measuring errors and collect three times more samples than Bluetooth sensors. The authors also designed a Kalman filter-based travel time estimation algorithm to estimate travel times on freeways and arterial roads. Field tests evaluated the wi-fi sensing areas under different antenna arrangements and compared the travel time estimation with wi-fi and Bluetooth sensors. The findings from the wi-fi sensors considerably outperform the Bluetooth sensors in capturing MAC address of passing vehicles, especially in low-traffic areas. The authors will continue exploring the potential of wi-fi sensors for estimating control delays or queue lengths.

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  • Corporate Authors:

    Mississippi State University, Mississippi State

    Department of Civil and Environmental Engineering
    Mississippi State, MS  United States  39762-9546

    Arizona State University, Tempe

    School of Computing, Informatics and Decision Systems Engineering
    Tempe, AZ  United States  85287-8809

    SOLARIS University Transportation Center

    University of Nevada
    Reno, NV  United States 
  • Authors:
    • Li, Pengfei
    • Mirchandani, Pitu B
    • Zhang, Lei
    • Zhang, Li
  • Publication Date: 2018-1


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 23p

Subject/Index Terms

Filing Info

  • Accession Number: 01667323
  • Record Type: Publication
  • Files: TRIS, ATRI, USDOT
  • Created Date: Apr 6 2018 10:58AM