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.
| Original language | English |
|---|---|
| Title of host publication | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1752-1757 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479960781 |
| DOIs | |
| State | Published - 14 Nov 2014 |
| Event | 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China Duration: 8 Oct 2014 → 11 Oct 2014 |
Publication series
| Name | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
|---|---|
| ISSN (Print) | 2153-0009 |
| ISSN (Electronic) | 2153-0017 |
Conference
| Conference | 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
|---|---|
| Country/Territory | China |
| City | Qingdao |
| Period | 8/10/14 → 11/10/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
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