Report on validation of the stochastic traffic simulation (Part B)

Abstract

This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behaviour of the study participants and the driving behaviour of the agents in the traffic simulation with real world data. Based on relevant literature, a validation concept was designed and real world data was collected using drones and stationary cameras. By means of qualitative and quantitative analysis it could be shown, that the driving simulator study shows realistic driving behaviour in terms of mean speed. Moreover, the stochastic traffic simulation already reflects reality in terms of mean and maximum speed of the agents. Finally, the performed evaluation proofed the suitability of the developed stochastic simulation for the assessment process. Furthermore, it could be shown, that a C-AEB system improves the traffic safety for the chosen test-scenarios.

What Do Traffic Simulations Have to Provide for Virtual Road Safety Assessment? Human Error Modeling in Traffic Simulations

“…The longitudinal acceleration is passed to the longitudinal vehicle model, which has to limit the acceleration according to its physical boundaries. So far, a first rough validation of the resulting approach behavior at junctions was conducted [15]. In addition, the feasibility of assessing ADAS and HAD with DReaM was demonstrated, using an autonomous emergency brake (AEB) system for junctions (see [15]).…”

“…So far, a first rough validation of the resulting approach behavior at junctions was conducted [15]. In addition, the feasibility of assessing ADAS and HAD with DReaM was demonstrated, using an autonomous emergency brake (AEB) system for junctions (see [15]). Fig.…”

“…Realistic driver models can be used for the generation of realistic road user behavior within virtual test fields of MiL, SiL, or HiL simulations (see [194]). This way, sensors, functional algorithms, or overall systems can be assessed (see [10], [12], [13], [14], [15], [16]). Virtual assessment is ideal for sensitivity analysis of how individual parameters (e.g.…”

“…Virtual assessment is ideal for sensitivity analysis of how individual parameters (e.g. the sensor opening angle) (see [15]) affect the system behavior and the resulting traffic. Therefore, MiL, SiL, and HiL contribute to cost and time saving, risk reductions, and safety benefits by finding new scenarios through extensive simulation studies.…”

“…The scope of virtual traffic simulations is broad. It is possible to assess overall systems, subsystems like sensors, and functional algorithms via hardware-in-the-loop (HiL), software-in-theloop (SiL), or Model-in-the-loop (MiL) simulations (see [10], [12], [13], [14], [15], [16]). The focus of virtual traffic simulations with detailed behavior models lies on the interaction between humans and the system to be validated.…”