Smart City Application Focusing on Urban Environment and Green Traffic

A tétel rövid nézete
dc.contributor.advisorRenato, Besenczi
dc.contributor.authorLiaqat, Humera
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-11-18T08:14:32Z
dc.date.available2021-11-18T08:14:32Z
dc.date.created2021-11-17
dc.description.abstractThe research was how to create an environmentally friendly atmosphere that emits less dangerous gases. When dealing with this issue, long-term planning is quite vital. It was investigated whether smart city apps can aid in traffic congestion reduction through the use of shorter-distance routes rather than traditional routes. To be effective, the intelligent traffic system must be able to analyze the current traffic situation. This would involve a discussion on how the adoption of smart cities will impact the future of metropolitan areas. The goal is to figure out how the routes will contribute to lowering the pace at which passengers inhale air pollution from the roads. With the advancement in technology, machine learning has paved a way for creating solution for this climate change. The machine learning experts, in conjunction with other field collaborations, can assist in reducing greenhouse gas emissions and so controlling climate change in the future. With the smart city application, you may go to more environmentally friendly paths to travel, which will result in lower vehicle emissions and less time spent on each path, as well as the particular time it will take.hu_HU
dc.description.courseComputer Science Engineeringhu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent70hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/324905
dc.language.isoenhu_HU
dc.subjectsmart city applicationshu_HU
dc.subjecturban environmenthu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleSmart City Application Focusing on Urban Environment and Green Traffichu_HU
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