Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following

Ergonomics ◽  
2012 ◽  
Vol 55 (9) ◽  
pp. 971-985 ◽  
Author(s):  
M. Saffarian ◽  
R. Happee ◽  
J.C.F. de Winter
Keyword(s):  
Driving Simulator ◽  
Lateral Control ◽  
Car Following ◽  
Simulator Study

Analyses on the heterogeneity of car-following behaviour: evidence from a cross-cultural driving simulator study

2020 ◽  
Vol 14 (8) ◽  
pp. 834-841
Author(s):  
Qian Cheng ◽  
Xiaobei Jiang ◽  
Wuhong Wang ◽  
André Dietrich ◽  
Klaus Bengler ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Cross Cultural ◽  
Car Following ◽  
Simulator Study

Exploring Driver’s Deceleration Behavior in Car-Following: A Driving Simulator Study

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Junyu Hang ◽  
Xuedong Yan ◽  
Ke Duan ◽  
Xiaomeng Li ◽  
Jingsi Yang
Keyword(s):  
Driving Simulator ◽  
Car Following ◽  
Simulator Study

Driving Simulator Validity: Some Considerations

1996 ◽  
Vol 1550 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Nico A. Kaptein ◽  
Jan Theeuwes ◽  
Richard van der Horst
Keyword(s):  
Choice Behavior ◽  
Driving Simulator ◽  
Image Resolution ◽  
Driving Simulators ◽  
Lateral Control ◽  
Control Behavior ◽  
Route Choice Behavior ◽  
Study Results ◽  
Moving Base ◽  
Simulator Study

The validity of driving simulators for behavioral research is discussed. The concept of validity is introduced and explained, and a survey of validation studies follows, in the TNO driving simulator and others, comparing field and simulator study results. Results for mid-level driving simulators show that generally absolute validity of route choice behavior is obtained and relative validity of speed and lateral control behavior is obtained. There is evidence suggesting that for a number of applications the presence of a moving base and possibly a higher image resolution might increase the validity of a driving simulator.

Car-Following Model Calibration Based on Driving Simulator Data to Study Driver Characteristics and to Investigate Model Validity in Extreme Traffic Situations

2021 ◽  
pp. 036119812110326
Author(s):  
Moritz Berghaus ◽  
Eszter Kallo ◽  
Markus Oeser
Keyword(s):  
Driving Simulator ◽  
Driver Behavior ◽  
Field Studies ◽  
Driving Behavior ◽  
Model Parameters ◽  
Prediction Errors ◽  
Trajectory Data ◽  
Car Following ◽  
Model Validity ◽  
Simulator Study

In this paper we use traffic data from a driving simulator study to calibrate four different car-following models. We also present two applications for which the calibration results can be used. The first application relied on the advantage that driving simulator data also contain information on driver characteristics, for example, age, gender, or the self-assessment of driver behavior. By calibrating the models for each driver individually, the resulting model parameters could be used to analyze the influence of driver characteristics on driver behavior. The analysis revealed that certain characteristics, for example, self-identification as an aggressive driver, were reflected in the model parameters. The second application was based on the capability to simulate dangerous situations that require extreme driving behavior, which is often not included in datasets from real traffic and cannot be provoked in field studies. The model validity in these situations was analyzed by comparing the prediction errors of normal and extreme driving behavior. The results showed that all four car-following models underestimated the deceleration in an emergency braking scenario in which the drivers were momentarily shocked. The driving simulator study was validated by comparing the calibration results with those obtained from real trajectory data. We concluded that driving simulator data were suitable for the two proposed applications, although the validity of driving simulator studies must always be regarded.

Impact of perceptual treatments on lateral control during driving on crest vertical curves: A driving simulator study

2008 ◽  
Vol 40 (4) ◽  
pp. 1513-1523 ◽  
Author(s):  
Florence Rosey ◽  
Jean-Michel Auberlet ◽  
Jean Bertrand ◽  
Patrick Plainchault
Keyword(s):  
Driving Simulator ◽  
Lateral Control ◽  
Simulator Study

A Driving Simulator Study of the Performance Effects of Low Blood Alcohol Concentration

1996 ◽  
Vol 40 (18) ◽  
pp. 943-946 ◽  
Author(s):  
R. Wade Allen ◽  
Zareh Parseghian ◽  
Anthony C. Stein
Keyword(s):  
Divided Attention ◽  
Driving Simulator ◽  
Blood Alcohol Concentration ◽  
Large Body ◽  
Alcohol Concentration ◽  
Blood Alcohol ◽  
Performance Effects ◽  
Driving Task ◽  
Simulator Study ◽  
And Performance

There is a large body of research that documents the impairing effect of alcohol on driving behavior and performance. Some of the most significant alcohol influence seems to occur in divided attention situations when the driver must simultaneously attend to several aspects of the driving task. This paper describes a driving simulator study of the effect of a low alcohol dose, .055 BAC (blood alcohol concentration %/wt), on divided attention performance. The simulation was mechanized on a PC and presented visual and auditory feedback in a truck cab surround. Subjects were required to control speed and steering on a rural two lane road while attending to a peripheral secondary task. The subject population was composed of 33 heavy equipment operators who were tested during both placebo and drinking sessions. Multivariate Analysis of Variance showed a significant and practical alcohol effect on a range of variables in the divided attention driving task.

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