The role of big data in a connected environment Case study: smart city

Handling Priority Data in Smart Transportation System by using Support Vector Machine Algorithm

“…▪ Data shared between the vehicle and the infrastructure ▪ The environmental data (climate) ▪ The data generated by the sensors placed on board the vehicles Based on data collected from an intelligent transportation system and the taxonomy carried out in [1,13], the data in an intelligent transportation system can be classified into three categories: the APP-level data, network-level data, and environmental data as shown in figure 3. APP-level data is the data generated by sensors installed in the ITS equipment (traffic light, etc) and the sensors integrated into the vehicles.…”

“…To make a city smarter, life necessities (water management, waste management, transport, and security) and technology need to be transformed into smart services. A simple definition of a smart city is an environment in which citizens can live smoothly and easily by developing their various facilities and making them smart [1].…”

“…In addition to these data, we will also have another type of data circulating in the network, namely the data exchanged between the Road-Side Units and between the latter and the vehicles and between the vehicles and the network data. So the challenge will be which data should be processed first, which data should have a higher priority; we will answer these questions in the present article, which is an extended version of the work presented in [1] where we propose to make a change on big data analysis process to handle priority data.…”