Development of predicting evaluation platform of advanced driver safety assist systems using integrated virtual traffic environments

Yoshimi Furukawa, Hiroshi Takeda, Naohiro Yuhara, Sunao Chikamori, Masato Abe, Toichi Sawada

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

5 Citations (Scopus)

Abstract

Advanced driver safety assist systems are expected as the useful tools to decrease the traffic accidents, and are under developments in many automobile manufacturers. From the political points of view, predicting the effects of each advanced driver safety assist system on driver-vehicle safety improvement quantitatively, in the early stage of the system development activities, is important to define the priority of development of the systems. Also the prediction method will give further technical knowledge of new driver assist system concepts to the automobile manufactures. This paper proposes the integrated evaluation methodology of advanced safety driver assist systems. Proposed evaluation platform is composed by integrated virtual traffic environments, including micro integrated driver models, macro car traffic simulation models, networked driving simulators and probe cars.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages4041-4046
Number of pages6
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 2004 Oct 102004 Oct 13

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume4
ISSN (Print)1062-922X

Conference

Conference2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
CountryNetherlands
CityThe Hague
Period04/10/1004/10/13

Keywords

  • Estimation
  • Filtering
  • Information fusion
  • Resource management
  • Tracking

ASJC Scopus subject areas

  • Engineering(all)

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