Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim

Demin Nalic,Branko Rogic,Arno Eichberger,Martin Fellendorf,Aleksa Pandurevic

doi:10.3390/en14113135

Abstract

As the complexity of automated driving systemss (ADSs) with automation levels above level 3 is rising, virtual testing for such systems is inevitable and necessary. The complexity of testing these levels lies in the modeling and calculation demands for the virtual environment, which consists of roads, traffic, static and dynamic objects, as well as the modeling of the car itself. An essential part of the safety and performance analysis of ADSs is the modeling and consideration of dynamic road traffic participants. There are multiple forms of traffic flow simulation software (TFSS), which are used to reproduce realistic traffic behavior and are integrated directly or over interfaces with vehicle simulation software environments. In this paper we focus on the TFSS from PTV Vissim in a co-simulation framework which combines Vissim and CarMaker. As it is a commonly used software in industry and research, it also provides complex driver models and interfaces to manipulate and develop customized traffic participants. Using the driver model DLL interface (DMDI) from Vissim it is possible to manipulate traffic participants or adjust driver models in a defined manner. Based on the DMDI, we extended the code and developed a framework for the manipulation and testing of ADSs in the traffic environment of Vissim. The efficiency and performance of the developed software framework are evaluated using the co-simulation framework for the testing of ADSs, which is based on Vissim and CarMaker.

Highlights

The use of traffic flow simulation software (TFSS) in automotive engineering has significantly improved the scope of the virtual testing of automated driving systemss (ADSs)
The use of TFSS in automotive engineering has significantly improved the scope of the virtual testing of ADS
Hallerbach presented in [1] a simulation-based tool-chain to identify critical scenarios using a SUMO and a vehicle dynamic software

Summary

Introduction

In [12] a statistical method is introduced in order to calculate the number of scenarios required for the same evidence as the approaches presented in [10,11] These accident rates and scenario amounts can hardly be reached via Vissim because the Vissim driver model relies on tactical driving behavior. This is due to the fact that traffic participants plan their actions with a temporal and spatial horizon; see [13]. C++ code with a class architecture and useful methods for accessing and setting different vehicle parameters for traffic participants This provides an optimized environment for the testing and development of ADSs in the complex traffic environment of Vissim. DMF code itself can be used independently of Vissim and is available to users for testing purposes and other related applications

Software Description

Software Architecture

Software Functionalities

Use Case Application of the DMF

Traffic parameter configuration

Conclusions