ACS Applied Computer Science

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ON-THE-FLY COMMUNITY-DRIVEN MOBILE ACCELEROMETER DATA ANALYSIS SYSTEM FOR ROAD QUALITY ASSESSMENT

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In this paper the authors are discussing a community-driven system for reporting via smartphones road acceleration data, processed on-the-fly in the cloud computing system for finding possible road artefacts as well as assessing overall road quality on the driver-friendly RRUI scale. The proposed system uses smartphones mounted in a car with little to no calibration or initial setup. By performing a fast analysis in the cloud, data are made immediately available for other users. The system continuously sends to end users' devices data about road quality issues "in exchange" for acceleration information.
  • APA 6th style
Badurowicz, M., Cieplak, T., & Montusiewicz, J. (2016). On-the-fly community-driven mobile accelerometer data analysis system for road quality assessment. Applied Computer Science, 12(4), 18-27. 
  • Chicago style
Badurowicz, Marcin, Tomasz Cieplak, and Jerzy Montusiewicz. "On-the-Fly Community-Driven Mobile Accelerometer Data Analysis System for Road Quality Assessment." Applied Computer Science 12, no. 4 (2016): 18-27.
  • IEEE style
M. Badurowicz, T. Cieplak, and J. Montusiewicz, "On-the-fly community-driven mobile accelerometer data analysis system for road quality assessment," Applied Computer Science, vol. 12, no. 4, pp. 18-27, 2016.
  • Vancouver style
Badurowicz M, Cieplak T, Montusiewicz J. On-the-fly community-driven mobile accelerometer data analysis system for road quality assessment. Applied Computer Science. 2016;12(4):18-27.
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