Conduct multi-dimensional analysis and visualization of massive data from traffic segments and transportation hubs, deeply mining various types of data from traffic operations activities to provide scientific support for comprehensive decision-making.
Unify the access of various equipment data information within the hub, establishing point-to-point links between models and device information. Use a single map to achieve multi-faceted management and display of device configuration information, monitoring information, alarm information, and spatial information.
Based on a three-dimensional twin scene, visualize and integrate surveillance information to monitor and conduct visible analysis of safety indicators across various domains of traffic management. Provide capabilities for analyzing the impact range of alerts, managing alerts, and conducting root cause analysis to support alert handling and analysis.
Monitor real-time traffic flow data and passenger flow data on road sections, deeply integrate resources from various levels, departments, and regions, forming an emergency response system with rapid联动 and efficient command and dispatch.
Complete the spatial placement of traffic signals and other operational equipment in a 3D scene, and based on this, perform targeted time allocation within the scene to visualize the simulation results of road segment operation status, empowering traffic flow management decisions.
Real-time collection, measurement, and analysis of energy consumption data within transportation hubs, enabling real-time monitoring and trend control of annual, monthly, and daily energy consumption. This achieves digitalization, networking, and spatial visualization of energy and energy-saving management.
Comprehensive decision-making
Energy consumption monitoring
Equipment management
Monitoring and early warning
Dispatch command
Optimization and simulation