DocumentCode
154741
Title
Microscopic traffic simulation based evaluation of highly automated driving on highways
Author
Bahram, Mohammad ; Ghandeharioun, Zahra ; Zahn, Peter ; Baur, Mathias ; Huber, Werner ; Busch, Fritz
Author_Institution
BMW Group Res. & Technol., Munich, Germany
fYear
2014
fDate
8-11 Oct. 2014
Firstpage
1752
Lastpage
1757
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.
Keywords
artificial intelligence; road safety; traffic engineering computing; artificial intelligence; highly automated driving evaluation; highways; microscopic traffic simulation environment; traffic flow; traffic safety; Accidents; Adaptation models; Mathematical model; Microscopy; Road transportation; Safety; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ITSC.2014.6957946
Filename
6957946
Link To Document