A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles

Sangho Lee; Jaegwan Kim; Hoondong Song; Shiho Kim

doi:10.1109/ITSC.2014.6957984

A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles

Sangho Lee, Jaegwan Kim, Hoondong Song, Shiho Kim

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.1109/ITSC.2014.6957984
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

All Science Journal Classification (ASJC) codes

Computer Science Applications
Automotive Engineering
Mechanical Engineering

Access to Document

10.1109/ITSC.2014.6957984

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Lee, S., Kim, J., Song, H., & Kim, S. (2014). A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles. In 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 (pp. 1917-1918). [6957984] (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2014.6957984

Lee, Sangho ; Kim, Jaegwan ; Song, Hoondong ; Kim, Shiho. / A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles. 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1917-1918 (2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014).

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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.",

author = "Sangho Lee and Jaegwan Kim and Hoondong Song and Shiho Kim",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 ; Conference date: 08-10-2014 Through 11-10-2014",

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Lee, S, Kim, J, Song, H & Kim, S 2014, A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles. in 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014., 6957984, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1917-1918, 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, 14/10/8. https://doi.org/10.1109/ITSC.2014.6957984

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

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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.

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Lee S, Kim J, Song H, Kim S. A 3-dimensional real-time traffic simulator considering the interaction among autonomous and human-driven vehicles. In 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). https://doi.org/10.1109/ITSC.2014.6957984