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On the Coverage of Bus-Based Mobile Sensing.

Pedro Henrique Cruz Caminha1, Rodrigo de Souza Couto2, Luís Henrique Maciel Kosmalski Costa3

  • 1Poli/COPPE-Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos 149, Rio de Janeiro 21941-972, Brazil. cruz@gta.ufrj.br.

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|June 22, 2018
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Summary

Selecting a subset of buses for sensing can maximize smart city data collection. A study in Rio de Janeiro showed 18% of buses could cover 94% of streets, optimizing spatial coverage.

Keywords:
coveragevehicle-based sensingwireless sensor networks

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Area of Science:

  • Urban planning
  • Transportation engineering
  • Data science

Background:

  • Smart cities utilize embedded sensors for data collection.
  • Vehicles like buses can serve as mobile sensing platforms.
  • Understanding spatial coverage is crucial for sensor network efficiency.

Purpose of the Study:

  • To develop a model for selecting optimal bus subsets for maximum city coverage.
  • To analyze the spatial coverage limitations and opportunities of bus-based sensor networks.

Main Methods:

  • Proposing a model to identify the bus subset maximizing urban spatial coverage.
  • Evaluating the model using a large-scale dataset of over 5700 buses in Rio de Janeiro.

Main Results:

  • The entire bus fleet covers approximately 5655 km of streets (47% of the city).
  • A strategically selected 18% subset of buses can achieve 94% street coverage.
  • Demonstrated significant potential for cost-effective data gathering in smart cities.

Conclusions:

  • Optimizing bus selection for sensing significantly enhances smart city data acquisition.
  • A small fraction of buses can provide extensive urban spatial coverage.
  • This approach offers a cost-effective solution for smart city information gathering.