{"title":"Smart Navigation System Using Air Quality Index","authors":"Ritik. S. Jain, Ishani Agarwal, Shubha Dwivedi, Shubham Singh, Archana Purwar, Dhanalekshmi Gopinathan","doi":"10.1109/ICSC48311.2020.9182777","DOIUrl":null,"url":null,"abstract":"With enlarging enormous urbanization and industrialization air pollution has developed a major danger to humankind. The rising traffic of vehicles in cities results into emanation of harmful gases which in turn increase air pollution level. Air pollution mainly constitutes of Ozone (O3), Oxides of Nitrogen, Particulate Matter (PM2.5),Carbon Monoxide (CO) and Particulate Matter (PM10). The requirement to answer for moving from the route which has less air pollution becomes a place of importance. This paper develops a smart navigation system in which air quality index and road Distance is taken into account to suggest safest and fastest route. It uses using A* algorithm to find the optimum path. It tends to minimize the harmful effect of air pollution.The proposed model is validated on data set for two different routes. Routes obtained from the proposed model are compared with routes obtained by Google Map.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Signal Processing and Communication (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC48311.2020.9182777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With enlarging enormous urbanization and industrialization air pollution has developed a major danger to humankind. The rising traffic of vehicles in cities results into emanation of harmful gases which in turn increase air pollution level. Air pollution mainly constitutes of Ozone (O3), Oxides of Nitrogen, Particulate Matter (PM2.5),Carbon Monoxide (CO) and Particulate Matter (PM10). The requirement to answer for moving from the route which has less air pollution becomes a place of importance. This paper develops a smart navigation system in which air quality index and road Distance is taken into account to suggest safest and fastest route. It uses using A* algorithm to find the optimum path. It tends to minimize the harmful effect of air pollution.The proposed model is validated on data set for two different routes. Routes obtained from the proposed model are compared with routes obtained by Google Map.