Introduction

Digital Twin

Digital Twin Intelligent Transportation

Smart transportation integrated operation

Use the analysis and statistics of daily traffic operation data, combined with artificial intelligence, machine learning and other methods, to overall improve the networking, automation and intelligence of traffic operation and maintenance management, and ultimately achieve a smart city decision-making system for smart transportation.

3D system platform

Accurate perception of intersection situations.
Intelligent equipment management and control.
Full-time vehicle statistics and status analysis.

Digital Twin Application

The virtual field built on the digital twin platform is linked with various sensors in the physical environment. After analyzing and simulating various decisions, the best solution is selected and applied to the real world to improve life. In the generation of Internet of Things (IoT), digital twin is an excellent technology to supervise and manage equipment, and also simulate the results of different behaviors to assist managers in making decisions.

Intelligent Public Transportation

It can process multiple traffic messages simultaneously and transmit the messages to managers in real time to enhance the intelligent networking of traffic maintenance and operation management.

The Interaction Between People, Vehicles and Roads

Use communication technology to realize research and prediction of the real world in the virtual platform to solve complex integrated transportation system problems.

Application of Roadside Intelligence

Detect real-time status information such as vehicles, pedestrians, road structures, etc. Gather roadside smart infrastructure data to achieve cross-system information integration.