Research on Key Technologies of Urban Road Safety under the condition of Big Data
To solve the urban road safety, congestion, pollution and efficiency, we need grasp accurate real time traffic conditions of the city. Intelligent Traffic need to discover rules and provides various services through processing, analysis and mining massive real time and historical data. Big Data technology is an effective way to achieve this purpose. Based on the analysis and comparison of the current popular processing platforms and technologies of the big data, this paper designs a new framework for processing traffic big data that is fit for both batch processing and real time processing at the same time, and then to achieve data collection, storage, correlation, semantic processing and analysis of the traffic big data through this new framework. The experimental results show that the framework can real time, fast and accurate processing and calculating traffic big data.