Healthy Route Generation and Recommendation

  • Lazar Pendov
  • , Zhanlin Ji
  • , Ivan Ganchev

Research output: Contribution to journalArticlepeer-review

Abstract

- This paper presents the utilization of a developed pilot wireless-based Air Quality Index (AQI) monitoring system, reporting live geo-grid resolved air quality data, for the purposes of healthy route generation and recommendation to users. The generated routes are visualized on a map and recommended to users through a specially developed web-based application, as part of the client tier of the supporting IoT platform EMULSION. A distributed computing architecture is utilized for the generation of healthy (more precisely, ‘least air pollution exposure’) routes, performed in near real-time using the dynamic Dijkstra algorithm, based on the interpolated AQI values. In addition, the fastest and shortest routes for each journey, requested by a user, are generated as well. The importance of the presented work lies within the practical applicability of the proposed method for healthy route generation, either as a stand-alone version of the software application developed for the purpose or integrated into the existing popular navigation systems and applications alike.

Original languageEnglish
Pages (from-to)558-567
Number of pages10
JournalWSEAS Transactions on Information Science and Applications
Volume21
DOIs
Publication statusPublished - 2024

Keywords

  • Air Quality Index (AQI)
  • EMULSION
  • healthy route
  • Internet of Things (IoT)
  • IoT platform
  • recommendation to users
  • route generation

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