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This study introduces an app to unify data from wearable sensors and questionnaires for traffic research. It simplifies data collection and ensures consistency, overcoming common challenges in field measurement campaigns.

Keywords:
Participartory planningmobile sensingtrafficurban analytics

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Area of Science:

  • Human-Computer Interaction
  • Transportation Science
  • Data Science

Background:

  • Field measurement campaigns using wearable sensors and questionnaires face challenges due to inconsistent manufacturer interfaces and potential errors in custom questionnaire content.
  • Standardizing data collection is crucial for reliable analysis in traffic participant studies.

Purpose of the Study:

  • To present a novel application designed to consolidate data from multiple technical sensors and questionnaires used in field measurement campaigns.
  • To improve the efficiency, accuracy, and consistency of data acquisition in traffic research.

Main Methods:

  • Development of a mobile application featuring a sensor data bus class for unifying data from diverse technical sensors and questionnaires.
  • Implementation of functionalities for real-time feedback on sensor platform mounting and uniform data storage.
  • Design of a privacy-preserving database structure for managing multi-campaign and multi-subject data.

Main Results:

  • The application successfully consolidates data from various sensors and questionnaires into a uniform data structure.
  • The system provides feedback for correct sensor mounting, reducing potential errors.
  • A scalable database structure is described for privacy-preserving storage of extensive campaign data.

Conclusions:

  • The developed app effectively addresses the challenges of data integration and consistency in traffic measurement campaigns.
  • The application offers a flexible and extensible solution for researchers, enhancing data quality and simplifying study execution.
  • The findings provide practical insights for researchers conducting similar field measurement campaigns.