Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification

Lozano, Wilson; Neal, Tempestt

doi:10.5038/CUTR-NICR-Y3-3-10

i

Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification

2024-11-13
By Lozano, Wilson ; Neal, Tempestt

File Language:

English

Details

Creators:

Lozano, Wilson ; Neal, Tempestt
Corporate Creators:

University of South Florida
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; University of South Florida. National Institute for Congestion Reduction
Subject/TRT Terms:
DOI:

https://doi.org/10.5038/CUTR-NICR-Y3-3-10
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report, April 2022 – December 2023
Corporate Publisher:

National Institute for Congestion Reduction
Abstract:

Our study investigates smartphone sensor data for classifying drivers and passengers, aligning with our original proposal to enhance multimodal transportation data collection via the OneBusAway app. We address 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 our goal of refining data quality from open-source platforms. These insights advance our objectives by optimizing data efficiency and supporting the real-world applicability of intelligent models in transportation safety and efficiency.
Format:

PDF
Funding:

69A3551947136;79075-22
Download URL:

https://rosap.ntl.bts.gov/view/dot/84825/dot_84825_DS1.pdf
File Type:

[PDF - 976.36 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:728ae9598a2d7fd4542c3bf5755f8ad3b8fe557e257b1ec3b0588aeaa2c79f1851c20fbfed7e4f11b412c23eed6e80efa0a49b085cfce0e18d11cb6326551bec

File Language:

English

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