Influence of Drowsiness on Driving Performance on Off-Ramps: A Driving Simulator Study

ICTIS 2013 ◽  
2013 ◽  
Author(s):  
Xiaohua Zhao ◽  
Hongji Du ◽  
Jian Rong ◽  
Xingjian Zhang
2015 ◽  
Vol 16 (5) ◽  
pp. 461-467 ◽  
Author(s):  
Raju Thapa ◽  
Julius Codjoe ◽  
Sherif Ishak ◽  
Kevin S. McCarter

Author(s):  
Lynn B. Meuleners ◽  
Jonathon Q. Ng ◽  
Michelle L. Fraser ◽  
Dewi Tjia ◽  
Ying Ru Feng ◽  
...  

2020 ◽  
Vol 45 ◽  
pp. 755-762
Author(s):  
Alessandro Calvi ◽  
Fabrizio D’Amico ◽  
Lua Bianchini Ciampoli ◽  
Chiara Ferrante

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Lukas Bier ◽  
Michael Emele ◽  
Kaja Gut ◽  
Jasna Kulenovic ◽  
David Rzany ◽  
...  

Abstract Background Driving fatigue can have serious consequences. Too often fatal accidents are caused by fatigue. However, it is not uncommon for fatigue to occur while driving when the driver is under-challenged. Due to the increasing automation of vehicles, it is foreseeable that the number of accidents caused by monotony will increase. Interactions between driver and vehicle through gamification can remedy the situation and provide the driver with new stimuli during an otherwise monotonous journey. Methods In order to test the effectiveness of such interactions, we conducted a driving simulator study with 31 test persons to investigate driving performance and psycho-physiological parameters. Each subject ran through the experiment three times in randomized order to test the interaction system in comparison to a ride in which the driver was alone and a ride in which the driver had a co-driver. Results The results provide clear indications of safer driving of the test subjects when driving with gamification and with a passenger. The tested interaction system prevents upcoming fatigue in a similar way to communication with a passenger. The experiments also provide insights into the effects of monotony in vehicle driving.


Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.


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