Characterisation of driving skill level using driving simulator tests

2007 ◽  
Vol 5 (3/4) ◽  
pp. 219 ◽  
Author(s):  
William C. Lin ◽  
Yuen Kwok Chin ◽  
Brian S. Repa ◽  
Manxue Lu ◽  
Robert L. Nisonger ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Skill Level ◽  
Driving Skill

scholarly journals Study of driving skill level discrimination based on human physiological signal characteristics

RSC Advances ◽  
2018 ◽  
Vol 8 (73) ◽  
pp. 42160-42169
Author(s):  
Fuwang Wang ◽  
Qing Xu ◽  
Rongrong Fu ◽  
Guangbin Sun
Keyword(s):  
Research Work ◽  
Skill Level ◽  
Physiological Signal ◽  
Driving Skill ◽  
Signal Characteristics ◽  
Driver's License ◽  
License Examination

The study of driving skill level discrimination based on EEG, EOG and ECG characteristics, which uses the driver's license examination “subject two”, is carried out in our current research work.

Impact of Cognitive Distractions on Drivers’ Hazard Anticipation Behavior in Complex Scenarios

2019 ◽  
Vol 2673 (9) ◽  
pp. 440-451 ◽  
Author(s):  
Yalda Ebadi ◽  
Donald L. Fisher ◽  
Shannon C. Roberts
Keyword(s):  
Response Time ◽  
Cell Phone ◽  
Driving Simulator ◽  
Mock Cell ◽  
Cell Phone Use ◽  
Road Users ◽  
Driving Skill ◽  
Cognitive Distraction ◽  
Negative Effect ◽  
Vulnerable Road Users

Distraction is one of the main causes of traffic crashes. The effect of cell phones, a major contributor to cognitive distraction, on response time has tested in many simulator studies. Response time is not the only driving skill affected by cell phone conversations, however. Specifically, it is known that cell phone usage contributes to a reduction in hazard anticipation skills at intersections, and there are many other scenarios where cell phone conversations could have a detrimental effect. The objective of this study is to determine whether cognitive distractions associated with cell phone use affect hazard anticipation, not only at intersections but also in other scenarios which contain latent hazards. Twenty-four drivers navigated 18 scenarios on a driving simulator twice, with their eye movements continuously monitored. During one drive, participants performed a hands-free mock cell phone task while driving; on the other drive, they navigated through the virtual world without any additional tasks apart from the primary task of driving. The scenarios were classified into two types: intersection and non-intersection. Using a logistic regression model within the framework of generalized estimation equations, it was determined that the proportion of anticipatory glances toward potential hazards was reduced significantly for all scenarios when drivers were engaged in a mock cell phone task. Perhaps the most disturbing finding is that this was true both at work zones and at marked midblock crosswalks, scenarios which often endanger vulnerable road users. In summary, the study found a negative effect of cognitive distraction on latent hazard anticipation.

Influence of Driving Experience on Distraction Engagement in Automated Vehicles

2019 ◽  
Vol 2673 (9) ◽  
pp. 142-151 ◽  
Author(s):  
Dengbo He ◽  
Birsen Donmez
Keyword(s):  
Secondary Task ◽  
Driving Simulator ◽  
Phase 1 ◽  
Task Engagement ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Novice Drivers ◽  
Driving Experience ◽  
Driving Skill ◽  
The Difference

State-of-the-art vehicle automation requires drivers to visually monitor the driving environment and the automation (through interfaces and vehicle’s actions) and intervene when necessary. However, as evidenced by recent automated vehicle crashes and laboratory studies, drivers are not always able to step in when the automation fails. Research points to the increase in distraction or secondary-task engagement in the presence of automation as a potential reason. However, previous research on secondary-task engagement in automated vehicles mainly focused on experienced drivers. This issue may be amplified for novice drivers with less driving skill. In this paper, we compared secondary-task engagement behaviors of novice and experienced drivers both in manual (non-automated) and automated driving settings in a driving simulator. A self-paced visual-manual secondary task presented on an in-vehicle display was utilized. Phase 1 of the study included 32 drivers (16 novice) who drove the simulator manually. In Phase 2, another set of 32 drivers (16 novice) drove with SAE-level-2 automation. In manual driving, there were no differences between novice and experienced drivers’ rate of manual interactions with the secondary task (i.e., taps on the display). However, with automation, novice drivers had a higher manual interaction rate with the task than experienced drivers. Further, experienced drivers had shorter average glance durations toward the task than novice drivers in general, but the difference was larger with automation compared with manual driving. It appears that with automation, experienced drivers are more conservative in their secondary-task engagement behaviors compared with novice drivers.

Racing Driver Modeling Based on Driving Behavior

2021 ◽  
Author(s):  
Jinzhen Wang ◽  
Yiming Cheng ◽  
Liangyao Yu
Keyword(s):  
Preliminary Test ◽  
Control Model ◽  
Skill Level ◽  
Driver Model ◽  
Test Results ◽  
Singularity Detection ◽  
Handling Characteristics ◽  
Driving Skill ◽  
Dynamic Velocity ◽  
The Given

Abstract The driver model is an important link in the research of shared autonomy control. In order to simulate the driver’s handling characteristics in the complex human-vehicle-road closed-loop system, the driver model is required to accomplish the driving operation under specific working conditions. In this paper, a lateral-longitudinal combined racing driver model is designed. The lateral control model adopts the preview model with far and near viewpoints and the dynamic velocity controller is added into the longitudinal control model to obtain the expected speed of the target trajectory. Finally, the racing driver model proposed in this paper is validated through simulation on track conditions of FSAE. In the given conditions, the result shows the racing driver model outperforms the typical driver model in lateral path tracking and the speed of racing driver model is higher than typical model on straight and corners. Meanwhile, the representation of driving skills is a key step to enhance the adaptive control of vehicles in the future. The control parameters can be adjusted according to the driver’s skill information to make the vehicle control system adapt to the driver’s skill level. This paper introduces the method of driving skill recognition based on wavelet transform and Lipschitz singularity detection theory and the preliminary test results prove the feasibility of using this method to characterize the driver’s operating skill level.

Expertise in Video Gaming and Driving Skills

2011 ◽  
Vol 22 (4) ◽  
pp. 279-284 ◽  
Author(s):  
Lutz Jäncke ◽  
Christoph Klimmt
Keyword(s):  
Video Game ◽  
Strong Influence ◽  
Driving Simulator ◽  
Video Gaming ◽  
Substantial Influence ◽  
Extensive Experience ◽  
Control Subjects ◽  
Driving Skills ◽  
Driving Skill ◽  
Performance Bias

We assessed whether video game experience exerts substantial influence on standardised measures of driving skill. Three subject groups (n = 90) with different video game experiences (frequent, moderate and without extensive experience) performed standard driving tests on a driving simulator, computerised tests measuring driving skills, and standard attention tests. Even extensive video game experience had no influence on performance in computerised tests measuring driving skills. But there was a strong influence of video game experience on computerised attention tests, with frequent gamers outperforming the control subjects in several attention measures. These findings show that the evaluation of driving skill should rely strongly on driving skills tests which are specifically designed for this particular purpose. The use of standard computerised attention tests for the assessment of driving skills runs the risk of introducing a performance bias during testing attributable to frequent video game use.

Racer: A Simulated Environment Driving Simulator to Investigate Human Driving Skill

2017 ◽  
pp. 534-547
Author(s):  
Amirah ‘Aisha Badrul Hisham ◽  
Marwan Nafea ◽  
Ahmad Bukhari Aujih ◽  
Mohamad Hafis Izran Ishak ◽  
Mohamad Shukri Zainal Abidin
Keyword(s):  
Driving Simulator ◽  
Simulated Environment ◽  
Driving Skill

Truck Driving Simulator Effectiveness

2002 ◽  
Author(s):  
A. Hoskins ◽  
M. El-Gindy ◽  
R. Vance ◽  
N. Hiller ◽  
C. Goodhart
Keyword(s):  
Vehicle Dynamics ◽  
Driving Simulator ◽  
Measurement Data ◽  
Department Of Transportation ◽  
Response Measurement ◽  
Driver Performance ◽  
Driving Skill ◽  
Heavy Truck ◽  
Dynamics Response ◽  
Equipment Operator

The Pennsylvania Truck Driving Simulator (PTDS) has been implemented in several different studies. The effectiveness of utilizing the simulator for training heavy truck operators was investigated through a study with the Pennsylvania Department of Transportation (PENNDOT). Thirty-four highway equipment operator trainees from PENNDOT completed a series of driving tasks in the simulator. The driving tasks were developed as five independent driving scenarios within the simulator each requiring different skills. Measures of driver performance included ratings from professional driving instructors and numerical records from the simulator’s recording capability. These were analyzed to determine if a) students improved their driving through completing the driving scenarios, and b) the two sets of data agreed in the assessment of driver performance. This paper presents the results of this study, which showed that students’ driving skill did improve as they completed the driving tasks. The vehicle dynamics response measurement data also largely agreed with the instructors’ evaluation.

DRIVERS’ READINESS TO USE CAR DRIVING SIMULATOR AS A TOOL TO IMPROVE DRIVING SKILL: A PRELIMINARY STUDY

2016 ◽  
Vol 78 (6-9) ◽  
Author(s):  
Rozmi Ismail ◽  
Mohamad Hanif Md Saad ◽  
Mohd Jailani Mohd Nor ◽  
Redzwan Rosli
Keyword(s):  
Driving Simulator ◽  
Developed Countries ◽  
Survey Method ◽  
Driving Simulators ◽  
Driver Training ◽  
Driving Skill ◽  
Long Time ◽  
Preliminary Study ◽  
The 1960S ◽  
Car Driving

Driving simulators have existed since the 1960s, but for a long time they remained too expensive to be used widely for training purposes. As IT related technology improved, the cost of driving simulators goes down in the last few years. Today, driving simulators have been used as a training device in the basic driver training. In developed countries the use of simulator in driving education is not new. In Malaysia, however, the use of simulators in training is quite new compared to other Asian countries. This paper presents the results of preliminary study on the readiness of Malaysian driver to use car driving simulator in training and education prior to driver licensing.  Survey method was used to get information on drivers’ perception toward the introduction of driving simulator in selected driving institutes. The results of this study showed that all respondents agreed on the importance and usefulness of the driving simulator in improving the driving training process. Based on the result of this study, it is suggested that driving simulator should be implemented in the driving curriculum in order to produce competent driver.

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