Software Framework for Testing of Automated Driving Systems in a Dynamic Traffic Environment
Preprint
Abstract
Virtual testing of automated driving systems (ADS) become essential part of testing procedures for all automation levels. As ADS from automation level 3 and up are very complex virtual testing for such systems is inevitable. The complexity for these levels lies in the modelling and calculation demand for the virtual environment which consists of roads, traffic, static and dynamic objects and the modelling of the car itself. For safety and performance analyses of ADS the most important part is the modelling and consideration road traffic participants. There are several traffic flow simulation software (TFSS) which are used to reproduce realistic traffic behaviour and are integrated directly or over interfaces with vehicle simulation software (VSS). Beneficial for these software environments is the possibility to manipulate traffic participants in a defined manner e.g. in the vicinity of the vehicle under test or implementing defined driver models for traffic vehicles. In this work we present a software framework based on the external driver model interface provided by Vissim. This framework makes it possible to easily manipulate traffic participants for testing purposes of ADS.Keywords
All Related Versions
This publication has 7 references indexed in Scilit:
- Stress Testing Method for Scenario-Based Testing of Automated Driving SystemsIEEE Access, 2020
- Development of a Co-Simulation Framework for Systematic Generation of Scenarios for Testing and Validation of Automated Driving Systems2019
- Heterogeneous Traffic Flow Dynamics under Various Penetration Rates of Connected and Autonomous Vehicle2018
- Multi-resolution Traffic Simulation for Large-Scale High-Fidelity Evaluation of VANET Applications2018
- Coupling traffic and driving simulation: Taking advantage of SUMO and SILAB togetherEPiC Series in Engineering, 2018
- Simulation-Based Identification of Critical Scenarios for Cooperative and Automated VehiclesSAE International Journal of Connected and Automated Vehicles, 2018
- Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving2015