Work

Healthy Route Generation and Recommendation

Year: 2024

Type: article

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.

Source: WSEAS Transactions on Information Science and Applications archive

DOI: 10.37394/23209.2024.21.52

Authors: Lazar Pendov, Zhanlin Ji, Ivan Ganchev

Institutions: Plovdiv University, Zhejiang A & F University

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Good health and well-being

Open Access status: diamond

Funders: Bulgarian National Science Fund, National Key Research and Development Program of China