Service Introduction.

The service provides a shared platform for different types of autonomous vehicles (passenger cars, minibuses, and coach buses) to test single or multiple components and hardware/software. The platform also offers virtual verification (Vehicle-in-the- Loop; Hardware/Camera-in-the-Loop) and integration testing of ADAS- or ADS-equipped real vehicles in closed and open areas. This allows companies to test different road and driving scenarios in a single location through a single window, increasing the scenario coverage and reducing the costs of testing, communication, and platform modification. In addition, the platform can shorten manufacturers’ development time of by 80%, while still providing the most-complete product and real-vehicle test data.

02
Versatile Platforms

Passenger Car

Minibus

view in 3D
intro video

3D model

Coach Bus

03
Training Test / Verification Site Introduction

ARTC simulation lab

ARTC’s virtual-physical integration framework consists mainly of three software: Tass PreScan, Malab&Simulink, and PTV Vissim. PreScan is used to create virtual scenes and simulate sensor information (camera, radar, lidar, etc.); Malab&Simulink is used to develop the control logic of autonomous driving algorithm, combined with vehicle dynamics models and sensor models; and PTV Vissim, a microscopic traffic flow simulation software, is used to create random traffic behaviors. Through virtual-physical integration, the performance of autonomous driving decision-making control can be verified.

demonstration site

The Taiwan CAR Lab, an advanced autonomous-vehicle proofing ground co-developed by ARTC, has set up 13 different road scenarios within the testing area: a total of 4 bi-directional 2- and 4-lane roads (200m long each); several cross-directional multi-lane roads; all test scenarios ( including road types, traffic conditions, traffic lights…etc.). All the facilities simulate different driving conditions on real roads in Taiwan, so as to assess the autonomous vehicle's ability to handle different road conditions. The designed test areas include three sections: urban road area, suburban road area, and special road-surface area. The special road-surface area includes up to 6 testing scenarios, including tunnels, railway crossings, intelligent bus-stops, metal bridge road surfaces, shaded road sections, and cement road surfaces. The urban road area includes 4 test items, namely intersections/pedestrian crossings, simulated architectural street views, roundabouts, and roadside parking areas. The suburban road area includes 3 scenarios: T-junctions, curved roads, and lane reductions. The parking area includes angle parking that is common at motorway rest areas in Taiwan. This allows the autonomous vehicles to test their ability to handle different roadside parking.