Smart Navigation System Using Air Quality Index

Ritik. S. Jain, Ishani Agarwal, Shubha Dwivedi, Shubham Singh, Archana Purwar, Dhanalekshmi Gopinathan
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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.
使用空气质素指数的智能导航系统
随着大规模城市化和工业化的不断扩大,空气污染已成为人类的一大威胁。城市车辆的增加导致有害气体的排放,这反过来又增加了空气污染水平。空气污染主要由臭氧(O3)、氮氧化物、颗粒物(PM2.5)、一氧化碳(CO)和颗粒物(PM10)构成。从空气污染较少的路线迁移的要求变得非常重要。本文开发了一种考虑空气质量指数和道路距离的智能导航系统,以建议最安全和最快的路线。采用A*算法寻找最优路径。它倾向于把空气污染的有害影响降到最低。在两种不同路线的数据集上对该模型进行了验证。将该模型得到的路线与Google Map得到的路线进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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