Technical Features
Platform Integration
Provide integration services for data, communication, and control management with mainstream development and simulation testing software in the market. This includes cross-domain software integration such as Expected Functional Safety Analysis Software, Ethernet Testing Software, scenario generalization and sensitivity analysis tools, and more.
Development & Upgrades
Offer specialized development services in fields like SOIIF, vehicle-infrastructure coordination, and sensor physical modeling. Deliver solutions for data annotation, analysis, scenario mining, and iterative optimization based on databases such as natural driving data, high-precision map data, and traffic flow data.
End-to-End Services
Data closed-loop software and simulation testing platforms cover the entire autonomous driving testing process, including cloud-based simulation testing, platform architecture, closed-site testing, and public road testing.
Modular Configuration
All software products adopt modular designs, such as data management modules, vehicle models, sensor models, scenario libraries, and cloud service management. This enables flexible data migration, deployment, and debugging for users.
Data Closed-Loop
WAY-Simu/Basic General Simulator
WS/BGS is a scenario application platform centered around a scenario database, featuring 20,000+ logical scenarios that cover Level 2 (L2) to Level 5 (L5) autonomous driving testing scenarios. It provides intelligent driving algorithms with rich, authentic, and effective testing environments along with evaluation metrics. The platform offers three types of simulation engines: a general-purpose simulator, a first-generation self-developed simulator, and a second-generation self-developed simulator.
WAY-Simu/AGS General Simulator
The cloud platform architecture comprises simulation testing, data management, and digital cloud infrastructure components, providing an efficient Web UI interface with customizable operations
Supports mainstream commercial simulation software including VTD, Prescan, and SCANeR
Compatible with AI vehicle dynamics models, customizable 15+ degrees-of-freedom dynamics models, and commercial dynamics simulation tools like CarSim
Offers 30,000+ reconstructed scenario libraries
Delivers multi-dimensional evaluation capabilities covering basic scenario data transformation/analysis/mining, functional evaluation, and safety assessment (L0-L4 compliant), with support for custom evaluation framework integration
Enables 24/7 operation capable of daily simulation testing exceeding 1 million kilometers
Provides multiple deployment options including dynamically scalable hybrid cloud deployment and private cloud deployment
WAY-Simu/IntelligentTraffic General Simulator
The platform delivers large-scale traffic flow simulation integrating data management, traffic flow emulation, and dynamics simulation into a unified system, enabling online stochastic traffic flow configuration across diverse simulation services while providing comprehensive evaluative frameworks with visualized analytics, testing/playback functionality, and cloud-based high-concurrency capabilities, featuring 1,000+ scenario repositories including traffic interference patterns, co-simulation environments, transportation system models, and real-world data benchmarks that concurrently support intelligent driving simulations, traffic network emulations, and integrated validation testing with embedded assessment protocols.
WAY-Simu/Evaluation
The platform includes scenario evaluation, resource evaluation, functional evaluation, safety evaluation, and SOTIF (Safety of the Intended Functionality) evaluation. Functional and safety evaluations form the core of the platform, consisting of data processing, target vehicle identification, evaluation algorithm modules, and output evaluation results.
The evaluation algorithm module is constructed through evaluation analysis and an evaluation metrics library, encompassing general evaluation metrics, functional evaluation metrics, safety evaluation metrics, and V2X evaluation metrics. It supports testing, assessment, data analysis during testing processes, and evaluation output for autonomous driving algorithms across different levels.
WAY-Simu/Dynamics
The platform provides two sets of high-precision calibration models and 13 sets of semi-precision expert models. It supports users in modifying configurations of existing models and allows efficient setup of new models through rapid modeling. Simulation testing can be conducted in a co-simulation format, ultimately generating evaluation reports.
In-the-Loop Platform
ADAS In-the-Loop testing
The ADAS closed-loop test platform can integrate common simulation software such as VTD, dynamics simulation software like CarSim, and sensor simulation software such as VRX-Sensor. It also supports custom integration of dynamic models, sensor models, road network and scenario models. Compatible with MIL/SIL/HIL development processes, its flexible and scalable interfaces allow connection to video dark boxes, video injection devices, ultrasonic and millimeter wave simulators. The platform can be adapted for integration with driver-in-the-loop (DIL) test benches and chassis dynamometer test benches for DIL testing. It enables end-to-end automated test management, including test case management, scenario management, and model management, while providing result and process parameter analysis/evaluation modules.
V2X In-the-Loop testing
The V2X In-the-Loop Testing Platform enables both fundamental V2X algorithm-in-the-loop testing and comprehensive end-to-end testing processes. It can be extended to integrate with large-scale electromagnetic compatibility (EMC) simulation and analysis platforms, supporting interference testing scenarios such as single-frequency multi-user environments, multi-frequency coexistence, and correlated interference assessments. Additionally, the platform provides V2X physical models and a self-developed universal protocol stack, facilitating integrated testing of V2X algorithms with traffic flow algorithms. It demonstrates compatibility with mainstream simulation software (e.g., VTD, Prescan) and traffic flow simulation tools (e.g., SUMO, VISSIM). The integrated test analysis software enables comparative analysis between field testing, road testing, and simulation testing results.
Cockpit In-the-loop Testing
The driver-in-the-loop cockpit platform based on the real-time simulation system can realize high-precision scenario simulation and virtual calibration simulation based on VTD and other software. The platform can provide high-precision scenario library and scenario design, provide body customization and prototype car modification, steering wheel and accelerator brake system components, realize functions such as multi-screen combination, ADAS functional unit integration, and instrument panel display design. Furthermore, the platform can be extended to access the multi-degree-of-freedom motion platform and hub dynamometer system.
Network simulation and testing
The Internet of Vehicles (IoV) simulation platform primarily consists of a simulation platform host and bus network simulation models. It supports simulation of both CAN bus and Ethernet bus systems. Featuring open Wi-Fi & 4G LTE signal development capabilities, it enables communication applications for Wi-Fi & 4G LTE networks, facilitating communication and service simulation with third-party TSP servers. The simulation platform host can integrate CANoe software, allowing compatibility with CAN bus network simulation models and Ethernet simulation models developed on CANoe.
Data Product
Scenario Library
Over 30,000 high-precision test scenarios comprehensively cover the verification requirements for autonomous driving systems from L2 to L5 levels. The scenario repository, constructed based on multi-source data, features a scenario classification system comprising seven core modules:
1) Natural driving scenarios converted from real-world road data;
2) Hazardous condition scenarios derived from typical traffic accident cases;
3) Regulatory validation scenarios compliant with international/domestic standards;
4) Simulation scenarios built upon Operational Design Domains (ODD) and expert knowledge systems;
5) Reconfigurable scenarios enabled by parametric modular technology;
6) Virtual validation scenarios based on digital twin technology;
7) SOTIF (Safety of the Intended Functionality) scenarios meeting ISO 21448 standards.
The platform supports flexible subscription services and personalized customization according to users' practical needs.
Model Library
The system offers over 2,000 high-precision simulation models, specifically addressing the modeling requirements of Chinese-specific transportation elements. The model library comprises four core categories:
1）Localized architectural and traffic sign models constructed based on road characteristics in mainland China
2）Multi-form road barrier and infrastructure model groups
3）Comprehensive vehicle model library covering passenger cars/commercial vehicles/special-purpose vehicles
4）Traffic participant models featuring complex characteristics including abnormal postures and special equipment
The platform supports personalized model customization services according to specific testing requirements.
Dataset
The KITTI dataset incorporates elements such as road environments and vehicle trajectory behaviors, combined with sensor data. It provides images and annotated results for 2D object detection, point cloud data, and 3D object detection. The foundational KITTI dataset offered to users includes scenario-specific collections such as Autonomous Emergency Braking (AEB) scenarios, hazardous driving condition scenarios, Highway Pilot (HWP) scenarios, and highway scenarios datasets.
Standard Test Case Repository
The coverage includes:
• DDS Protocol Testing
• QoS Configuration Testing
• SOA Testing
• Performance Testing
• Fault Injection Testing
• Domain Control Function Testing
• HIL and XIL Testing
Vehicle dynamics model
High-precision multi-degree-of-freedom vehicle models applicable for benchmarking include: AION LX Plus, Buick GL8, Li Auto L8/L9/One, ROBO_01, T_Eletre, TESLA Model 3/S/Y, NIO ES7/ET5/ET7, Xpeng G9/P5/P7, Neta S/U/V/GT, IM Motors LS7, Hongqi H9, JIPU 1/2/3, IM Motors LS7, etc.
The models mainly consist of several sub-systems:
(1) Vehicle body system
(2) Steering system
(3) Suspension system
(4) Powertrain system
(5) Tire-ground contact mechanics system
Application Areas:
• Hardware-in-the-Loop (HIL) Testing
• Single Powertrain Engineering Testing
• Powertrain-in-the-Loop (PIL) Testing
• Vehicle-in-the-Loop (VIL) Testing
• Field Testing
• Autonomous Driving Cloud Simulation Testing Applications
• Virtual-Physical Combined Dynamics Model Verification
Data Storage System for Autonomous Driving
The Data Storage System for Autonomous Driving is designed to record critical data of L3 and higher autonomous vehicles during the activation of autonomous driving systems. It serves as an essential component of autonomous vehicles, acting as the "black box" of the smart vehicle era. Its primary purposes include accident liability determination and data-driven training for autonomous driving models. The system complies with the Chinese National Standard GB 44497-2024 (Autonomous Driving Data Recording System for Intelligent Connected Vehicles). Core Features and Functions:
Data Recording: Captures 15 seconds before and 5 seconds after an event, including video content and CAN data (Type I system); supports continuous recording mode (Type II system).
Stores continuous data for at least 8 hours and retains positioning data packets for no fewer than 2,500 events. Features power-off protection to prevent data loss.
Protects system firmware from tampering to ensure data integrity and authenticity.
Supports multiple interfaces, including Ethernet, CAN FD, A2B, and more.
