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Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey

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  • Wenshuo Wang
  • Junqiang Xi
  • Huiyan Chen

Abstract

In recent years, modeling and recognizing driver behavior have become crucial to understanding intelligence transport systems, human-vehicle systems, and intelligent vehicle systems. A wide range of both mathematical identification methods and modeling methods of driver behavior are presented from the control point of view in this paper based on the driving data, such as the brake/throttle pedal position and the steering wheel angle, among others. Subsequently, the driver’s characteristics derived from the driver model are embedded into the advanced driver assistance systems, and the evaluation and verification of vehicle systems based on the driver model are described.

Suggested Citation

  • Wenshuo Wang & Junqiang Xi & Huiyan Chen, 2014. "Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-20, February.
    • Handle: RePEc:hin:jnlmpe:245641
    DOI: 10.1155/2014/245641
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    Cited by:

    1. Elizabeth A. Walshe & Chelsea Ward McIntosh & Daniel Romer & Flaura K. Winston, 2017. "Executive Function Capacities, Negative Driving Behavior and Crashes in Young Drivers," IJERPH, MDPI, vol. 14(11), pages 1-16, October.

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