Investigations of Driver Status Assessment based on Vehicle Longitudinal Control
博士 === 國立臺灣科技大學 === 機械工程系 === 103 === Driver behavior and status are the primary factors that influence the vehicle driving safety. An accurate driver status monitoring can help the design and functioning of the active safety systems. It is conjectured that the driver reaction time during the brakin...
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ndltd-TW-103NTUS54890302016-10-23T04:12:15Z http://ndltd.ncl.edu.tw/handle/31486374825790840187 Investigations of Driver Status Assessment based on Vehicle Longitudinal Control 依據車輛縱向控制以進行駕駛人狀態監控之研究 Chih-Chi Dai 戴志奇 博士 國立臺灣科技大學 機械工程系 103 Driver behavior and status are the primary factors that influence the vehicle driving safety. An accurate driver status monitoring can help the design and functioning of the active safety systems. It is conjectured that the driver reaction time during the braking events can serve as an indicator of the driver status. The objective of this research is to develop a revised area method that can provide an estimate of the human reaction time during the brake event. In contrast to the results presented in the literature about human reaction time, where the objectives are usually posterior statistical analyses of the human behavior, the feature of the proposed method is to provide the estimate of the human behavior during vehicle driving. The driving experiments with different human drivers in normal driving conditions have been conducted to collect brake events data. The experimental data is used to verify the estimated driver reaction time as calculated by the revised area method. The validation results indicate that the proposed revised area method can yield reasonably well estimate of thehuman reaction time. Furthermore, it is known that the brake events can be further divided into several segments, and the duration of each segment is expected to be dependent on the various driving variables. In this research, the correlations between the vehicle driving variables and the characteristics of human braking behavior are investigated to serve as the foundation for future research on human reaction time delay. The gray analysis technique is employed and the results are statistically analyzed, the primary factors that influence the different braking characteristics of the human drivers are identified. Liang-kuang Chen 陳亮光 2015 學位論文 ; thesis 178 zh-TW |
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博士 === 國立臺灣科技大學 === 機械工程系 === 103 === Driver behavior and status are the primary factors that influence the vehicle driving safety. An accurate driver status monitoring can help the design and functioning of the active safety systems. It is conjectured that the driver reaction time during the braking events can serve as an indicator of the driver status. The objective of this research is to develop a revised area method that can provide an estimate of the human reaction time during the brake event. In contrast to the results presented in the literature about human reaction time, where the objectives are usually posterior statistical analyses of the human behavior, the feature of the proposed method is to provide the estimate of the human behavior during vehicle driving. The driving experiments with different human drivers in normal driving conditions have been conducted to collect brake events data. The experimental data is used to verify the estimated driver reaction time as calculated by the revised area method. The validation results indicate that the proposed revised area method can yield reasonably well estimate of thehuman reaction time. Furthermore, it is known that the brake events can be further divided into several segments, and the duration of each segment is expected to be dependent on the various driving variables. In this research, the correlations between the vehicle driving variables and the characteristics of human braking behavior are investigated to serve as the foundation for future research on human reaction time delay. The gray analysis technique is employed and the results are statistically analyzed, the primary factors that influence the different braking characteristics of the human drivers are identified.
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author2 |
Liang-kuang Chen |
author_facet |
Liang-kuang Chen Chih-Chi Dai 戴志奇 |
author |
Chih-Chi Dai 戴志奇 |
spellingShingle |
Chih-Chi Dai 戴志奇 Investigations of Driver Status Assessment based on Vehicle Longitudinal Control |
author_sort |
Chih-Chi Dai |
title |
Investigations of Driver Status Assessment based on Vehicle Longitudinal Control |
title_short |
Investigations of Driver Status Assessment based on Vehicle Longitudinal Control |
title_full |
Investigations of Driver Status Assessment based on Vehicle Longitudinal Control |
title_fullStr |
Investigations of Driver Status Assessment based on Vehicle Longitudinal Control |
title_full_unstemmed |
Investigations of Driver Status Assessment based on Vehicle Longitudinal Control |
title_sort |
investigations of driver status assessment based on vehicle longitudinal control |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/31486374825790840187 |
work_keys_str_mv |
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