Microscopic traffic simulation based evaluation of highly automated driving on highways

Mohammad Bahram, Zahra Ghandeharioun, Peter Zahn, Mathias Baur, Werner Huber, Fritz Busch

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

17 Zitate (Scopus)

Abstract

Highly automated driving on highways requires a complex artificial intelligence that makes optimal decisions based on ongoing measurements. Notably no attempt has been performed to evaluate the impacts of such a sophisticated system on traffic. Another important point is the impact of continuous increase in the number of highly automated vehicles on future traffic safety and traffic flow. This work introduces a novel framework to evaluate these impacts in a developed microscopic traffic simulation environment. This framework is used on the one hand to ensure the functionality of the driving strategy in the early development stage. On the other hand, the impacts of increasing automation rates, up to hundred percent, on traffic safety and traffic flow is evaluated.

OriginalspracheEnglisch
Titel2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1752-1757
Seitenumfang6
ISBN (elektronisch)9781479960781
DOIs
PublikationsstatusVeröffentlicht - 14 Nov. 2014
Veranstaltung2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Dauer: 8 Okt. 201411 Okt. 2014

Publikationsreihe

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Konferenz

Konferenz2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Land/GebietChina
OrtQingdao
Zeitraum8/10/1411/10/14

Fingerprint

Untersuchen Sie die Forschungsthemen von „Microscopic traffic simulation based evaluation of highly automated driving on highways“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren