Smart transportation
  • Through a fusion of the physical and virtual realms, real-time representations of people, vehicles, roads, and environmental conditions in actual traffic situations are mapped into a virtual digital space. This integration fully combines spatiotemporal foundational data, IoT perception data, dynamic business data, and spatial data to build a visualized data foundation for urban traffic. Focusing on practical application scenarios, we create an integrated large-scale transportation digital twin solution covering travel safety, meteorological disaster prevention, fire safety, emergency management, and dispatch command. This addresses challenges in emergency operations and coordination for scenarios such as subways, high-speed rail, ports, full-scale intersections, and airports.

Industry Pain Points

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

Digital twin-enabled scenarios, starting from now.
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