TY - JOUR
T1 - Healthy Route Generation and Recommendation
AU - Pendov, Lazar
AU - Ji, Zhanlin
AU - Ganchev, Ivan
N1 - Publisher Copyright:
© 2024 World Scientific and Engineering Academy and Society. All rights reserved.
PY - 2024
Y1 - 2024
N2 - - 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.
AB - - 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.
KW - Air Quality Index (AQI)
KW - EMULSION
KW - healthy route
KW - Internet of Things (IoT)
KW - IoT platform
KW - recommendation to users
KW - route generation
UR - https://www.scopus.com/pages/publications/85213053893
U2 - 10.37394/23209.2024.21.52
DO - 10.37394/23209.2024.21.52
M3 - Article
AN - SCOPUS:85213053893
SN - 1790-0832
VL - 21
SP - 558
EP - 567
JO - WSEAS Transactions on Information Science and Applications
JF - WSEAS Transactions on Information Science and Applications
ER -