Detection of urban emergency event using Social media
Venu Manga, Phase Pranali, Shinde Priyanshu, Kothari Pratiksha, Shaikh Ahemad · Zenodo (CERN European Organization for Nuclear Research) · 2019
Now-a-days, peoples are using social media for communication purpose but we can use it for detection of emergency events. Detection of emergency events like fires, storms, traffic jam are playing the vital role in the humans life. In this paper we discuss the process and challenges, for detecting emergency events by analysing big data of social media for emergency purpose. Social media includes references to emergency events occurring at, or moving specific locations. To sight and describe the necessary time urban emergency event the 5W (What, Where, When, Who, and Why) model is projected. Foremost users of social media are set as a result of the target of crowdsourcing. Secondly, the spatial and temporal data from the social media are extracted to sight the necessary time event. Third a GIS based annotation of the detected urban emergency event is shown. Throughout this study, Associate in nursing experiment has been disbursed to assemble data from accelerometers and gyroscopes on smartphones. The collected data is processed at intervals the frequency domain to calculate magnitudes of the vibration.