Autonomous Driving Digital Twin Platform

1 Introduction

The autonomous driving digital twin platform aims to address issues in shuttle management, such as inaccurate data and slow response times. Using digital twin technology, the platform enables simulation modeling of real-world scenarios and vehicles, allowing for real-time simulation of vehicle operations and surrounding environmental changes, thereby enhancing management efficiency.


Autonomous Driving Digital Twin Platform


2 3D Digital Twin Scene Sandbox

The 3D digital twin scene sandbox primarily loads and renders 3D geographic scene models. It builds a digital model of the city based on actual geographic locations and uses animations to display vehicle actions such as driving, lane changing, door opening, and door closing.


3D Digital Twin Scene Sandbox


3 Real-Time Environmental Monitoring

The real-time environmental monitoring module integrates data from various on-site sensors and displays the real-time operational status of key equipment. This includes RSU data, high-definition camera monitoring data, signal controller data, MEC monitoring data, fisheye camera data, and charging station data.


Real-Time Environmental Monitoring


4 V2X Traffic Event Management

The V2X event module collects, processes, stores, and analyzes information about vehicles and their surrounding environment, providing real-time and accurate data support to help autonomous vehicles achieve safe and efficient driving.


V2X Traffic Event Management