Hui Zhang

Prof. Dr. Hui Zhang

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2016 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
CACharles Atombo
Charles Atombo
CWChaozhong Wu
Chaozhong Wu
MZMing Zhong
Ming Zhong
HZHui Zhang
Hui Zhang

1 January 2019 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
WCWenhui Chu
Wenhui Chu
CWChaozhong Wu
Chaozhong Wu
CACharles Atombo
Charles Atombo
HZHui Zhang
Hui Zhang
TÖTürker Özkan
Türker Özkan

1 May 2021 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
RYRongjie Yu
Rongjie Yu
LHLei Han
Lei Han
HZHui Zhang
Hui Zhang

1 November 2016 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
HZHui Zhang
Hui Zhang
CWChaozhong Wu
Chaozhong Wu
XYXinping Yan
Xinping Yan
TQTony Z. Qiu
Tony Z. Qiu

4 April 2024 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
YLYongjie Liu
Yongjie Liu
CWChaozhong Wu
Chaozhong Wu
HZHui Zhang
Hui Zhang
NDNaikan Ding
Naikan Ding
YXYiying Xiao
Yiying Xiao
KTKai Tian
Kai Tian

1 January 2014 in Transportation Research Record: Journal of the Transportation Research Board
Verified
Journal Article
Closed access
HZHui Zhang
Hui Zhang
XYXinping Yan
Xinping Yan
CWChaozhong Wu
Chaozhong Wu
TQTony Z. Qiu
Tony Z. Qiu
Circadian rhythms, inherent in all humans, consist of 24-h biological patterns that affect a person's fatigue level. The effect of circadian rhythms on driving performance was explored in an on-road driving study. Fifteen middle-aged professional daytime drivers were recruited to participate in the experiment. Participants were classified into three groups: (a) a morning group that started driving at 09:00, (b) a noon group that started driving at 12:00, and (c) an evening group that started driving at 21:00. Each group completed a 6-h driving task. The self-reported Karolinska sleepiness scale score was recorded every 5 min, and data on driving performance parameters, such as steering and lane positioning, were also acquired. The results indicated that both circadian rhythms and driving duration had significant effects on self-reported fatigue levels and that the fatigue level increased faster in the evening group than the morning and noon groups. The results of the circadian rhythm analysis showed that a driver was most likely to feel tired between 14:00 and 16:00 and between 02:00 and 04:00, when the ability to stay within designated lane lines (lane maintenance) was significantly impaired for drivers in all three groups. The evening group drivers were the most at risk. The steering performance did not show a significant relationship with the self-reported fatigue level. The self-reported fatigue level is the result of the interactive effect of circadian rhythms and driving duration. The standard deviation of lane position was more correlated with circadian rhythms than with the steering reversal rate.