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An Experimental Assessment of People's Location Efficiency Using Low-Energy Communications-Based Movement Tracking.

Marius Minea1

  • 1Department of Telematics and Electronics for Transports, Transports Faculty, University Politehnica of Bucharest, 060042 Bucharest, Romania.

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|November 26, 2022
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Summary

This study assesses Wi-Fi and Bluetooth for tracking people density and movement in public transport. Results show their potential for efficient, non-conventional passenger flow monitoring in GPS-denied areas.

Keywords:
Bluetooth sensors arrayGPS-denied environmentsindoors localizationlow-energy communicationspeople’s density and movement trackingreceived signal strength indicatortrilateration

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Area of Science:

  • Engineering
  • Computer Science
  • Urban Planning

Background:

  • Understanding public transport demand is crucial for fleet management and enhancing public transport's appeal to reduce urban traffic's environmental impact.
  • Low-energy communication technologies offer potential solutions for sensing people density and movement.
  • Accurate tracking is vital for optimizing public transport operations and urban mobility.

Purpose of the Study:

  • To evaluate the effectiveness of Wi-Fi and Bluetooth for people density and movement tracking in public transport environments.
  • To assess the feasibility of using these technologies for passenger flow monitoring in GPS-denied locations.
  • To provide recommendations for implementing non-conventional traveler tracking solutions.

Main Methods:

  • Field measurements were conducted to determine the percentage of discoverable devices relative to the total number of people.
  • Investigated different mobile device usage scenarios and their impact on radio signal propagation (RSSI/RX values).
  • Evaluated the efficiency of indoor localization in various public transport settings, including subway stations, commuting hubs, railway stations, and trains.

Main Results:

  • Presented experimental data and diagrams illustrating signal behavior.
  • Proposed models for radio signal propagation in the studied environments.
  • Quantified the efficiency of Wi-Fi and Bluetooth for tracking and localization.

Conclusions:

  • Wi-Fi and Bluetooth show promise as efficient, non-conventional solutions for tracking traveler and passenger flow.
  • Recommendations are provided for optimizing the use of these technologies in public transport.
  • The study contributes to understanding the application of low-energy communication for urban mobility sensing.