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

Sangho Lee, Jaegwan Kim, Hoondong Song, Shiho Kim

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1917-1918
Number of pages2
ISBN (Electronic)9781479960781
DOIs
Publication statusPublished - 2014 Nov 14
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 2014 Oct 82014 Oct 11

Publication series

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Other

Other2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Country/TerritoryChina
CityQingdao
Period14/10/814/10/11

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Automotive Engineering
  • Mechanical Engineering

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