Multi-Driver Agent-Based Traffic Simulation Systems for Evaluating the Effects of Advanced Driver Assistance Systems on Road Traffic Accidents

This article describes the development of a road traffic micro-simulation system that can be used for traffic safety assessment. This model uses a ‘nanoscopic model’ of driver behavior and an integrated analysis-evaluation system. The model is used primarily for estimating the effects of an advanced driver assistance system, which would include recognizing the driver’s intentions regarding choosing steering-control modes, lateral control tasks, and driving mood. The authors demonstrate the effectiveness and validity of the present system through comparison with measured traffic data. This is because the driver assistance systems needs to recognize the driver’s intention when choosing steering-control options. The authors present the results of a simulation study, using the data drawn from actual driving, to show that the systems would achieve a high recognition capability. As an example of how driving mood recognition applies to driver assistance systems, an advanced steering system and the adaptability to the driver’s mood, are also been presented.

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  • Authors:
    • Yuhara, Naohiro
    • Tajima, Jun
  • Publication Date: 2006-11


  • English

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  • Accession Number: 01050094
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 29 2007 9:34AM