Abstract
We present the real-time 3D traffic simulator RASY (Real-time autonomous vehicle traffic simulator developed by Yonsei University), for the modeling and analysis of various congestion scenarios, including interactions among human-driven and autonomous vehicles. Vehicles with different control models can be generated to investigate the effects of vehicle models and traffic environment on the traffic flow during simulations of congestion. A data log of the simulation can be exported for post-processing analysis. Following an analysis of simulation data under congested conditions, we found that a faster reaction time of an individual vehicle can raise the overall flow rate of a road, raising the critical vehicle density for congestion.
Original language | English |
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Title of host publication | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1917-1918 |
Number of pages | 2 |
ISBN (Electronic) | 9781479960781 |
DOIs | |
Publication status | Published - 2014 Nov 14 |
Event | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China Duration: 2014 Oct 8 → 2014 Oct 11 |
Publication series
Name | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
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Other
Other | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
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Country/Territory | China |
City | Qingdao |
Period | 14/10/8 → 14/10/11 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Automotive Engineering
- Mechanical Engineering