DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles

Hallerbach, Sven and Xia, Yiqun and Eberle, Ulrich and Köster, Frank (2018) Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles. SAE Technical Papers, pp. 93-106. Society of Automotive Engineers (SAE) International. doi: 10.4271/2018-01-1066. ISSN 0148-7191.

Full text not available from this repository.

Official URL: https://www.sae.org/publications/technical-papers/content/2018-01-1066/


One of the major challenges for the automotive industry will be the release and validation of cooperative and automated vehicles. The immense driving distance that needs to be covered for a conventional validation process requires the development of new testing procedures. Further, due to limited market penetration in the beginning, the driving behavior of other human trafc participants, regarding a mixed trafc environment, will have a signifcant impact on the functionality of these vehicles. In this article, a generic simulation-based toolchain for the model-in-the-loop identifcation of critical scenarios will be introduced. The proposed methodology allows the identifcation of critical scenarios with respect to the vehicle development process. The current development status of the cooperative and automated vehicle determines the availability of testable simulation models, software, and components. The identifcation process is realized by a coupled simulation framework. A combination of a vehicle dynamics simulation that includes a digital prototype of the cooperative and automated vehicle, a trafc simulation that provides the surrounding environment, and a cooperation simulation including cooperative features is used to establish a suitable comprehensive simulation environment. The behavior of other trafc participants is considered in the trafc simulation environment. The criticality of the scenarios is determined by appropriate metrics. Within the context of this article, both standard safety metrics and newly developed trafc quality metrics are used for evaluation. Furthermore, we will show how the use of these new metrics allows for investigating the impact of cooperative and automated vehicles on trafc. The identifed critical scenarios are used as an input for X-in-the-Loop methods, test benches, and proving ground tests to achieve an even more precise comparison to real-world situations. As soon as the vehicle development process is in a mature state, the digital prototype becomes a “digital twin” of the cooperative and automated vehicle.

Item URL in elib:https://elib.dlr.de/126392/
Document Type:Article
Additional Information:SAE Intl. J CAV 1(2):2018
Title:Simulation-Based Identification of Critical Scenarios for Cooperative and Automated Vehicles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:27 December 2018
Journal or Publication Title:SAE Technical Papers
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 93-106
Publisher:Society of Automotive Engineers (SAE) International
Keywords:Automated vehicles, Cooperative vehicles, Simulators, Test facilities, Test procedures, Simulation and modeling, Identification and verifcation, Simulation-based testing, Automotive engineering, Traffic quality
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Automotive Systems
Deposited By: Schlegel, Linda
Deposited On:05 Feb 2019 13:08
Last Modified:06 Sep 2019 15:30

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.