Driver's behaviors of emergency avoidance during automatic platooning by using a driving simulator

Rencheng Zheng, Shigeyuki Yamabe, Seungyong Lee, Kimihiko Nakano, Hiroki Nakamura, Masahiko Aki, Yoshihiro Suda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In the project of Energy-saving ITS Technology of Japan, reliable automatic platooning by trucks is a main objective for highway transportation. Meanwhile, simulating experiment is necessary to validate reliability and security of the automatic platooning. In our research group, an experimental platform was realized by integrating TruckSim software and control algorithm of the automatic platooning into a driving simulator system. By the experimental platform, on the assumption of system failure and an emergent deceleration of preceding truck without warning, driver behaviors for the emergency avoidance of following truck were studied. Especially, brake operations were analyzed in the different mean maximum decelerations of the following truck. The results validated that the emergent avoidance readily accomplishes when the mean maximum deceleration of the following truck is higher than the setting of the preceding truck.

Original languageEnglish
Title of host publication18th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2011
Pages5204-5215
Number of pages12
Publication statusPublished - 2011 Dec 1
Externally publishedYes
Event18th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2011 - New York, NY, United States
Duration: 2011 Oct 162011 Oct 20

Publication series

Name18th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2011
Volume7

Conference

Conference18th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2011
CountryUnited States
CityNew York, NY
Period11/10/1611/10/20

Keywords

  • Automatic platooning
  • Driver behaviors
  • Emergency avoidance

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

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