Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation

This study investigates smartphone sensor data for classifying drivers and passengers, aligning with the research team's original proposal to enhance multimodal transportation data collection via the OneBusAway app. The research team addresses challenges in balancing data quality with smartphone resource constraints and find that shorter data collection windows significantly improve classification performance. Additionally, feature standardization and selection enhance accuracy, particularly during extended data periods, supporting the goal of refining data quality from open-source platforms. These insights advance the objectives by optimizing data efficiency and supporting the real-world applicability of intelligent models in transportation safety and efficiency.

Language

  • English

Project

  • Status: Completed
  • Funding: $48,609.00
  • Contract Numbers:

    69A3551947136

    79075-23

  • 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:

    National Institute for Congestion Reduction

    University of South Florida
    Tampa, FL  United States  33620
  • Project Managers:

    Zhang, Yu

  • Performing Organizations:

    National Institute for Congestion Reduction

    University of South Florida
    Tampa, FL  United States  33620
  • Principal Investigators:

    Neal, Tempestt

  • Start Date: 20200810
  • Expected Completion Date: 20241113
  • Actual Completion Date: 20241113
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01957008
  • Record Type: Research project
  • Source Agency: National Institute for Congestion Reduction
  • Contract Numbers: 69A3551947136, 79075-23
  • Files: UTC, RIP
  • Created Date: May 30 2025 8:37PM