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Pollution Base Navigation System for Metro Pollution Cities

Author(s):

Rushikesh Shivcharan Jadhav , SRIERS Samarth Group of Institutions of Belhe; Atul Dilip Deshmukh, SRIERS Samarth Group of Institutions of Belhe; Vaishnavi Keshav Ghadge, SRIERS Samarth Group of Institutions of Belhe; Sagar Babaji Dhormale, SRIERS Samarth Group of Institutions of Belhe, SRIERS Samarth Group of Institutions of Belhe

Keywords:

Air Pollution; World Health Organization; Dijkstra Algorithm; Guiding Optimal Path; Ambulance and Cabs

Abstract

Air pollution is responsible for many health problems in the urban areas. Of late, the air pollution status in Delhi has undergone many changes in terms of the levels of pollutants and the control measures taken to reduce them. The urban air database released by the World Health Organization in September 2017 reported that Delhi has exceeded the maximum PM10. Vehicular emissions and industrial activities were found to be associated with indoor as well as outdoor air pollution in Delhi. The increasing vehicular traffic in urban sectors leads to emission of toxic gases thereby increasing air pollution levels which includes Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2), Carbon Monoxide(CO), Ozone (O3), Particulate Matter (PM2:5). The need for a solution to travel healthily for daily activities becomes a place of importance. This project proposes a model where ambivalent Air Quality Index is monitored and thus suggesting path having the least pollution to travel. It concurrently decreases the harmful effect of air pollution on vulnerable people. Dijkstra algorithm is used to defend the shortest path from source to destination and simultaneously evaluating the air quality index and guiding optimal path as result. This model can be used by ambulances and cabs. This model can be considered as a step forward towards healthy lifestyle.

Other Details

Paper ID: IJSRDV10I20163
Published in: Volume : 10, Issue : 2
Publication Date: 01/05/2022
Page(s): 178-181

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