A Hadoop Application for Urban Computing in Smart City

Year 2020, Volume: 16 Issue: 2, 193 - 201, 30.12.2020

Sevcan Turan Halit Öztekin

Abstract

Data analytics, which is the process of obtaining meaningful information from the rapidly occurring big data, has taken its place among popular topics. According to smart transportation systems, which are part of smart cities, big data is also generated in the field of transportation. Within the scope of this study, a data analytics application will be carried out with the average speed and vehicle count data obtained by the sensor systems installed on the roads for the City Pulse Smart City project which is accessible through the internet. Using the Hadoop open-source framework software, which is popular in data analytics, graphics and information will be obtained for interpretation about the flow of traffic on the road.

Keywords

Big data analytics, hadoop, big data, intelligent transportation systems

Thanks

The authors would like to thank the Open Data Aarhus (ODAA) initiative and CityPulse EU FP7 Project for publishing open datasets.

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