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논문 기본 정보

자료유형
학술대회자료
저자정보
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대한인간공학회 대한인간공학회 학술대회논문집 대한인간공학회 2011 춘계학술대회 및 워크샵
발행연도
2011.5
수록면
298 - 303 (6page)

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초록· 키워드

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Objective: This paper introduces and contrasts two different modeling approaches of driver models to implement computer-based vehicle simulation environments for evaluating intelligent driving support systems (IDSS): (1) modular-designed driver models; (2) performance-oriented driver models. Background: As the IDSSs become more intelligent and provide active safety controls, more comprehensive understanding of each facet of a driver’s cognitive processes is required as well as vehicle dynamics. That means, the driver-centered evaluation tools implementing the driver"s cognitive characteristics and limits are needed for assessing such intelligent subsystems beyond traditional function-oriented vehicle simulations with optimized computational driver models. Method: Two kinds of human factors experiments were conducted to differentiate the conventional driver models into driver-centered models in accordance with the specified driver’s generic human factors: (1) As for the modular-designed driver model, one humdred thirty drivers were participated in a psychophysical experiment of velocity estimation at 71 checkpoints on a road section to implement a part of drivers’ cognitive architecture, i.e., the sensory-perception processes of drivers were statistically modeled. (2) Double lane change maneuvers were conducted to implement differentiated performance-oriented driver models based on the efficiency and driving performance of different groups of drivers. Conclusion: The needs for developing a set of driver-centered simulation environments were clearly identified and the fundamental bottom-up approaches of developing such computational driver models were exhibited for diverse vehicle simulations. Application: The results from this study may ultimately provide meaningful data for early stages of the advanced safety vehicle design.

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ABSTRACT
1. Introduction
2. Computer-based driver models
3. Discussions and Conclusions
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UCI(KEPA) : I410-ECN-0101-2013-530-001644557