Intelligent Management and Control of Transportation Hubs Based on Big Data Technology

Abstract

Big data technology has become a hot research area and has expanded into the field of public safety. Public safety big data uses satellite data for large-scale detection, aerial data for regional abnormality inspections, and ground sensor data for abnormal target positioning, which can realize the prediction and early warning of public safety events. This paper focuses on the application of big data in sky and ground in transportation hubs. It builds specific personnel management systems and crowd anomaly management systems in transportation hub areas, and develops big data system application demonstrations in transportation hubs to improve the level of public security incident handling in transportation hubs.