FAMA traffic cloud management platform is a traffic information management cloud platform based on micro-service, taking the urban road traffic as the main body, collecting and summarizing information from electronic police, induction coil, RFID, traffic video in real time.
Based on the large data storage and processing capability of cloud computing platform and advanced technologies such as parallel computing, intelligent recognition of video content and semantic understanding, a comprehensive mathematical model of urban traffic is established to implement comprehensive management and intelligent show guidance of urban traffic, improve the efficiency of urban traffic, reduce congestion and make it more convenient for the public to travel.
The user can select from the pre-configured police D route pre-rate by manual secret service control in the control center to provide fast access routes for the convoy and other secret service vehicles (such as firefighting trucks, emergency ambulances, engineering emergency vehicles, etc.) performing security tasks;
Carry on the manual intervention to restore the normal operation of the intersection, which has passed through;
Perform a multi-window, real-time video playback of secret service's routes by connecting a camera;
Manually control the direction of the intersection on a single area
Record the equipment performance log, including changes to the internal operation of the signal machine, exception errors, external operations, offline, and so on. The exception status of each record can be modified.
Different service plans can be used for varying service types.
For special events, multiple secret service and green wave route schemes can be preset. After the scheme is called, the whole process of video monitoring and manual auxiliary control are performed.
With the help of cloud distributed architecture, the massive data collected by the front end can be dispersed to the cloud nodes, and support hourly playback; supporting real-time filtering of vehicles can directly present macro scenes and changes of large-scale traffic on a large scale, help traffic departments to grasp the distribution of traffic flow more accurately, quickly coordinate road resources, give full play to the overall performance, and effectively improve the traffic forecasting level.
With different permissions, there are different restrictions on the user's operation of the platform. In the diagram, the user can only operate the functions of department management and operation log.
The ability to use maps in an offline environment is provided
Build a unified and standardized traffic management data platform FAMA traffic cloud
Simple installation and maintenance and low workload
Modular design, high stability and developability