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.

Highlights

  • The planning of the study design, the data processing strategy, and the presentation of results was closely coordinated with VPSY

  • The results of the study are further processed by LKT to be considered for the parameterization, consolidation, and validation of driver behaviour models within the stochastic traffic simulation of D6.23b, respectively Task 6.12

  • The causes for accidents to happen are the misinformation of drivers as they fail to sense the relevant information from the environment

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Summary

Introduction

The purpose of the work done was to deliver reliable results about human drivers’ gaze and driving behaviour when approaching, crossing, and exiting intersections. The results of the human subject study address developers and engineers, who want to model human driving behaviour as a basis for testing automated driving functions.

Objectives
Methods
Findings
Discussion
Conclusion

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