Identifying and Examining Densely Populated Areas with the Influence of Weather Change on Transport
M. Siva Shankar1, J. Saritha2
1M. Siva Shankar, M.Tech Student, Department of Computer Science and Engineering, Jntua College of Engineering, Pulivendula (Andhra Pradesh), India.
2Dr. J. Saritha, Assistant Professor, Department of Computer Science and Engineering, Jntua College of Engineering, Pulivendula (Andhra Pradesh), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 1050-1052 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11770982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1177.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this work we identifying and examining the weather conditions on metropolitan area by using Big data. In this data describe the collection of data very large in size. In some urban regions transporting problem will be arrived in the changing on weather. Now this work understands the various characteristics overall city in urban areas. Some of the urban areas major pollution problem that can arrive in the motor vehicles / industries from metrological data. The data compilation process will be available in government web sites. This website used for making of see and retrieving the previous data and compare with the real data. To estimate the data mining by using Collaborative Filtering algorithm. Now going to this algorithm to estimate the real data and compare next day data.
Keywords: Collaborative Filtering Algorithm, Weather Forecast, Track Analysis, MVC, Web Service.
Scope of the Article: Routing and Transport Protocols