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 |
|---|---|
| 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 |
|---|
Other
| Other | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
|---|---|
| Country | China |
| City | Qingdao |
| Period | 14/10/8 → 14/10/11 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Automotive Engineering
- Mechanical Engineering
Cite this
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A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles. / Lee, Sangho; Kim, Jaegwan; Song, Hoondong; Kim, Shiho.
2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1917-1918 6957984 (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles
AU - Lee, Sangho
AU - Kim, Jaegwan
AU - Song, Hoondong
AU - Kim, Shiho
PY - 2014/11/14
Y1 - 2014/11/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84937140006&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937140006&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2014.6957984
DO - 10.1109/ITSC.2014.6957984
M3 - Conference contribution
AN - SCOPUS:84937140006
T3 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
SP - 1917
EP - 1918
BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -