fixed-based driving simulator (Realtime Technologies Inc)
90
Structured Review
Realtime Technologies Inc
fixed-based driving simulator
Fixed Based Driving Simulator, supplied by Realtime Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fixed-base+simulator/fixed+base+driving+simulator/pm35451915-113-2-4
Average 90 stars, based on 1 article reviews
Fixed Based Driving Simulator, supplied by Realtime Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/fixed-base+simulator/fixed+base+driving+simulator/pm35451915-113-2-4
Average 90 stars, based on 1 article reviews
fixed-based driving simulator - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
Sampling:Article Title: Driving-Related Cognitive Abilities Prediction Based on Transformer's Multimodal Fusion Framework. Article Snippet: The dataset was collected using a driving Article Title: Tools for Transport: Driven to Learn With Connected Vehicles. Article Snippet: The study was conducted in a partial Article Title: Time-to-Collision Estimations in Young Drivers with Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. Article Snippet: Individuals with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) may exhibit driving difficulties due to cognitive impairments such as time perception difficulties, a construct related to the perception of time-tocollision (TTC).. This study examined the timing abilities of drivers with ASD and ADHD.. Sixty participants (nADHD = 20, nASD = 20, nTD = 20) completed a time reproduction task and a TTC estimation task in a driving simulator. Article Title: Design and evaluation of a rural intersection conflict warning system and alternative designs among various driver age groups. Article Snippet: Advanced Rural Intersection Conflict Warning Systems (RICWS) were deployed as countermeasures to reduce severe right-angle crashes at rural thru-STOP controlled intersections across the United States (U.S.).. The simulator study designed and evaluated alternative RICWS designs to existing RICWS interventions, in varying rural driving scenarios, across age groups (N = 40 novice teenage, 40 middle-aged, and 40 older drivers).. Each participant was randomly assigned to a RICWS design, either the original or an alternative, and drove through sequences of 17 thru-STOP controlled rural intersections (nine RICWS intervention and eight control intersections). Article Title: Evaluation of a 3M (mistakes, mentoring, and mastery) training program for transfer of control situations in a level 2 automated driving system. Article Snippet: Drivers must actively supervise automation as it can only function in limited conditions.. A failure to supervise the system has negative consequences in terms of missed requests to take over control and may cause crashes or jeopardize safety.. The objective of this study is to determine the effect of a novel, 3M (Mistakes, Mentoring, and Mastery) training program on drivers’ behavior while using level 2 driving automation systems. Article Title: Evaluation of driver navigational errors and acceptance of a simulated J-turn intersection. Article Snippet: The J-turn intersection is a novel roadway design which decreases the points of conflict at an intersection, by restricting straight crossing and left-turning movements from the minor road across the highway.. The novelty of the intersection design may lead to driver errors and dissatisfaction.. This study provides an examination of how naïve or first-time drivers may initially navigate J-turns during their first and early exposures to the novel intersection design. Article Title: Assessing the effects of artifacts and noise in EEG signals on car-following driving behavior prediction Article Snippet: Electroencephalogram (EEG) research in driving behavior is integral to developing and implementing brain–machine collaborative intelligent driving assistance systems.. However, due to the existence of artifacts and noise, extracting features from unprocessed EEG data is challenging.. This study focused on car-following driving behavior using EEG data from 42 drivers to predict speed and acceleration while quantifying the impact of preprocessing on its predictive performance. Control:Article Title: Driving-Related Cognitive Abilities Prediction Based on Transformer's Multimodal Fusion Framework. Article Snippet: The dataset was collected using a driving Article Title: Tools for Transport: Driven to Learn With Connected Vehicles. Article Snippet: The study was conducted in a partial Article Title: Time-to-Collision Estimations in Young Drivers with Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. Article Snippet: Individuals with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) may exhibit driving difficulties due to cognitive impairments such as time perception difficulties, a construct related to the perception of time-tocollision (TTC).. This study examined the timing abilities of drivers with ASD and ADHD.. Sixty participants (nADHD = 20, nASD = 20, nTD = 20) completed a time reproduction task and a TTC estimation task in a driving simulator. Article Title: Design and evaluation of a rural intersection conflict warning system and alternative designs among various driver age groups. Article Snippet: Advanced Rural Intersection Conflict Warning Systems (RICWS) were deployed as countermeasures to reduce severe right-angle crashes at rural thru-STOP controlled intersections across the United States (U.S.).. The simulator study designed and evaluated alternative RICWS designs to existing RICWS interventions, in varying rural driving scenarios, across age groups (N = 40 novice teenage, 40 middle-aged, and 40 older drivers).. Each participant was randomly assigned to a RICWS design, either the original or an alternative, and drove through sequences of 17 thru-STOP controlled rural intersections (nine RICWS intervention and eight control intersections). Article Title: Evaluation of a 3M (mistakes, mentoring, and mastery) training program for transfer of control situations in a level 2 automated driving system. Article Snippet: Drivers must actively supervise automation as it can only function in limited conditions.. A failure to supervise the system has negative consequences in terms of missed requests to take over control and may cause crashes or jeopardize safety.. The objective of this study is to determine the effect of a novel, 3M (Mistakes, Mentoring, and Mastery) training program on drivers’ behavior while using level 2 driving automation systems. Article Title: Evaluation of driver navigational errors and acceptance of a simulated J-turn intersection. Article Snippet: The J-turn intersection is a novel roadway design which decreases the points of conflict at an intersection, by restricting straight crossing and left-turning movements from the minor road across the highway.. The novelty of the intersection design may lead to driver errors and dissatisfaction.. This study provides an examination of how naïve or first-time drivers may initially navigate J-turns during their first and early exposures to the novel intersection design. Article Title: Assessing the effects of artifacts and noise in EEG signals on car-following driving behavior prediction Article Snippet: Electroencephalogram (EEG) research in driving behavior is integral to developing and implementing brain–machine collaborative intelligent driving assistance systems.. However, due to the existence of artifacts and noise, extracting features from unprocessed EEG data is challenging.. This study focused on car-following driving behavior using EEG data from 42 drivers to predict speed and acceleration while quantifying the impact of preprocessing on its predictive performance. |