Spatial Analytics in Big IOT Data of Leeds’s Traffic Accidents

The massive number of sensors deployed in the IoT generates huge volumes of data for a wide range of applications such as smart home, smart healthcare, smart manufacturing, intelligent transport, intelligent network, smart agriculture, etc. A massive amount of data generated from high-speed sensors of different varieties is called Big IoT Data. Analyzing this data allows for better decision-making, increases productivity and accuracy, and improves revenue, which is a critical process that makes IoT a valuable idea for businesses. The objective of this paper is to identify various factors associated with road accidents in the city of Leeds in order to reduce the accident rate. for this purpose, we propose a spatial analysis based on clustering, which uses a variety of attributes captured by traffic sensors within the road networks.