Inferring Driver Behavior Profiles Using Digital Twins in Simulated Environments DOI

Matheus Andrade,

Morsinaldo Medeiros, Thaís Medeiros

et al.

Published: Nov. 28, 2024

Understanding driver behavior is crucial for enhancing road safety and improving fuel efficiency. However, collecting data on these behaviors in real-world settings challenging due to vehicle complexity high instrumentation costs. Driving simulators offer a viable alternative by creating environments that replicate real-life situations. This study explores the use of digital twins simulated environments, specifically Euro Truck Simulator 2 (ETS2), infer using virtual sensors. A case was conducted where routes under two driving conditions: cautious aggressive. The telemetry collected during simulations were analyzed identify behavioral patterns assess consumption results demonstrated enable real-time capture information, revealing significant differences between styles. Analysis accumulated radar area soft sensor indicated practices are associated with greater

Language: Английский

An experimental comparison on the effectiveness of various levels of simulator fidelity on ab initio pilot training DOI

Naomi Paul,

Bradley Moncion,

Shi Cao

et al.

Ergonomics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Jan. 5, 2025

Despite recent advances in technology use for education and training, the approach to pilot training over past several decades has largely remained unchanged. Student pilots complete their actual aircraft, with very few flight hours conducted devices. This study aimed investigate effectiveness of various levels simulator fidelity on ab initio training. Thirty student were invited train using a virtual reality simulator, desktop or device. Performance was evaluated modified Transport Canada Flight Test Guide alongside NASA Task Load Index, Subjective Stress Scale, Simulator Sickness Questionnaire, giving insight into mental workload, stress, experience sickness, respectively. Findings show potential simulators regarding procedural tasks; however, trainees must be aware limitations have concerning aircraft handling tasks.

Language: Английский

Citations

1

A Comprehensive Proposal for Driver Licensing Reform in Ecuador DOI
Yasmany García-Ramírez

Journal of Road Safety, Journal Year: 2025, Volume and Issue: 36(1)

Published: Feb. 6, 2025

Ecuador faces a critical road safety challenge, characterised by high crash rates and concerning driver behaviours. The existing education licensing processes have proven inadequate, underscoring an urgent need for comprehensive reform. This study proposes Driver Learning System (DLS) Ecuador, specifically designed to tackle these issues. Central the DLS is implementation of three-stage Graduated Licensing (GDL) system, which promotes progressive skill development low-risk driving among novice drivers. proposal also includes thorough revision curricula, emphasising risk awareness, technological integration, lifelong learning across all licence categories. GDL system was informed analysis local statistics behaviour studies, identifying areas Despite potential significantly reduce traffic crashes in challenges such as stakeholder resistance funding infrastructure improvements remain. Addressing obstacles will be essential successful DLS. GDL, supplemented robust public awareness campaign, represents promising path toward transforming culture enhancing Ecuador.

Language: Английский

Citations

0

From pixels to patrol cars: exploring desktop-based simulator sickness in police driving training DOI Creative Commons

Joakim Ingrell,

Caroline Mellgren

Frontiers in Virtual Reality, Journal Year: 2025, Volume and Issue: 6

Published: March 3, 2025

Simulator sickness (SS) poses significant challenges in the widespread adoption of driving simulators for traffic research, training, and other applications. This study investigates effects gender, age, environment, gaming experience on SS a desktop simulator, using sample 363 Swedish police trainees. Participants completed Sickness Questionnaire (SSQ) after simulator sessions involving either city or country road scenarios. Results revealed that females experienced significantly higher emerging as most influential predictor multiple regression model. Age also positively correlated with SS, older participants reporting more severe symptoms. Rural scenarios induced than traffic. Although prior reduced symptoms univariate analyses, it was not These findings emphasize need personalized design tailored scenario optimization to reduce sickness, promoting an inclusive accessible educational experience. aligns broader goals equity excellence professional training programs. Future research should expand these by exploring age range different types.

Language: Английский

Citations

0

An Exploratory Study: Performance Differences Between Novice Teen and Senior Drivers Using Interactive Exercises on a Driving Simulator DOI Creative Commons
Johnell O. Brooks, Rakesh Gangadharaiah, Patrick J. Rosopa

et al.

Safety, Journal Year: 2025, Volume and Issue: 11(1), P. 21 - 21

Published: March 2, 2025

Clinicians who do not specialize in driving have a need for simple assessment tools both the aging population and new drivers. While many researchers focus on complex scenarios presented simulators or on-road driving, this exploratory study examines use of interactive exercises using simulator to determine if there are differences speed at which senior novice teen drivers respond steering wheel pedal stimuli. This gap is addressed by evaluating performance between 34 (over 60) 17 (ages 16–17) with simulator: Reaction Timer Steering©, Stoplight©, Stoplight Steering©. Overall, teens had faster reaction times fewer errors than seniors, yet seniors demonstrated greater improvement over time. decreased age groups exercise. For Steering exercise, significant were identified number as well their times. The findings from suggest potential value potentially training motor movements associated across different groups. By providing safe controlled environments, offer clinicians educators evaluations, interventions, skill screenings improve safety at-risk driver populations.

Language: Английский

Citations

0

INNOVATIVE TRAINING COMPLEX WITH ENGINEERING SUPPORT: A NEW LEVEL OF TECHNICAL EXPLOITATION OF AVIATION DOI
Abay Koshekov,

D. Toleubekov,

I. Nautan

et al.

Вестник Академии гражданской авиации, Journal Year: 2025, Volume and Issue: 36(1)

Published: March 1, 2025

This research explores the creation of a novel training complex designed specifically for technical management military and specialized aviation equipment. The study is driven by need to improve efficiency engineering staff, given increasing complexity systems growing emphasis on safety. main objective this develop an adaptive educational platform that integrates digital twins systems, fault diagnosis algorithms, intelligent methods personalize process. architecture comprehensive support system was devised, which includes data collection, modeling, analytics. features learning algorithm takes into account trainee's skill level, experience, progress, automatically adjusting curriculum accordingly. By incorporating virtual simulators simulation models, closely mirrors actual operating conditions equipment, providing more immersive effective environment. To evaluate effectiveness proposed system, experimental testing conducted with two groups personnel: group, used control followed traditional methods. results revealed new led 22% reduction in response time emergencies, 30% errors, 18% improvement accuracy procedure execution. highly flexible can be customized integrated modern predictive diagnostic aircraft malfunctions. Implementing such development specialists will enhance safety, reliability, economic operations.

Language: Английский

Citations

0

Research on the Effectiveness of Driving Simulation Systems in Risky Traffic Environments DOI Creative Commons
Liang Chen, Jie Fang, Jingyan Li

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(5), P. 329 - 329

Published: April 29, 2025

Conducting research on the effectiveness of driving simulators is great significance for enhancing availability simulator systems. However, in risky environments, traditional methods have limitation making it difficult to conduct real vehicle experiments. Therefore, this study proposes a method based driver physiological indicators evaluate environments. On one hand, two-dimensional extended time collision theoretical model (2D-TTC) was used calculate risk degree. Then, similarity between degree and drivers’ electrocardiogram (ECG), electromyogram (EMG), electrodermal activity (EDA) data sequences calculated dynamic warping (DTW) model. other we complexity sample entropy ECG EMG as assess load. This paper intersections scenarios simulation experiments verify feasibility above method. It found that changes were consistent with degree, DTW values EDA tending become smaller two sequence closer being similar. also driver’s showed higher simulated poor sight intersection scenario compared good sight. In addition, heavy traffic scenario, parameters such entropy, well complexity, than low flow intersection. These findings are highly characteristics responses fully demonstrating test-driving system simulating scenarios. The proposed overcomes limitations approaches effectively validates systems results can drive further development application technology.

Language: Английский

Citations

0

Risk assessment of driver performance in the oil and gas transportation industry: Analyzing the relationship between driver vigilance, attention, reaction time, and safe driving practices DOI Creative Commons
Al‐Baraa Abdulrahman Al‐Mekhlafi, Ahmad Shahrul Nizam Isha, Nicholas Chileshe

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e27668 - e27668

Published: March 1, 2024

The increasing use of road traffic for land transportation has resulted in numerous accidents and casualties, including those involving oil gas tanker vehicles. Despite this, little empirical research been conducted on the factors influencing drivers' performance. This study aims to address this knowledge gap, particularly energy industry, by examining driving performance that affect drivers incorporating risk assessment measures. model variables were identified from literature used develop a survey questionnaire study. A total 307 surveys collected Malaysian drivers, contextually adjusted using Exploratory Factor Analysis (EFA) approach. was developed partial least squares structural equation modeling (PLS-SEM). EFA results categorized into two constructs: 1) reaction time with β = 0.320 2) attention vigilance value 0.749. proposed provided full insight how time, attention, impact sector, which can help identify potential risks prevent accidents. findings are significant understanding aid enhancing management effective measures fatal crashes.

Language: Английский

Citations

3

Exploring the Benefits of a Simulator-Based Emergency Braking Exercise with Novice Teen Drivers DOI Creative Commons
Rakesh Gangadharaiah, Johnell O. Brooks,

Lauren Mims

et al.

Safety, Journal Year: 2024, Volume and Issue: 10(1), P. 14 - 14

Published: Jan. 24, 2024

This exploratory study investigated whether using the Pedals Emergency Stop© interactive driving simulator exercise improved understanding and performance of emergency braking among novice teen drivers. Seventy-one high school driver education students (aged 15–19) participated. All teens completed task then an on-road ABS in a driver’s vehicle; there was no control group. Students’ ability to complete simulator-based increased from initial passing rate only 18.3% maximum 81.7% by end simulation exercise. A positive trend observed over successive trials, with linear effect explaining 51.1% variance stopping “pass” rates task. In addition, participants who passed more trials during were 12.3% likely fully activate stop activity vehicle. Post-study surveys revealed that 95% their as result simulation-based training, 98% felt impact on real-world capabilities. Participants highly endorsed for refresher rating 4.7 out 5. emphasizes potential benefits incorporating exercises into long-term goal promoting safe behaviors outcomes.

Language: Английский

Citations

1

Leveraging Wearable Sensors in Virtual Reality Driving Simulators: A Review of Techniques and Applications DOI Creative Commons
Răzvan Gabriel Boboc, Eugen Valentin Butilă, Silviu Butnariu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4417 - 4417

Published: July 8, 2024

Virtual reality (VR) driving simulators are very promising tools for driver assessment since they provide a controlled and adaptable setting behavior analysis. At the same time, wearable sensor technology provides well-suited valuable approach to evaluating of drivers their physiological or psychological state. This review paper investigates potential sensors in VR simulators. Methods: A literature search was performed on four databases (Scopus, Web Science, Science Direct, IEEE Xplore) using appropriate terms retrieve scientific articles from period eleven years, 2013 2023. Results: After removing duplicates irrelevant papers, 44 studies were selected Some important aspects extracted presented: number publications per year, countries publication, source publications, study aims, characteristics participants, types sensors. Moreover, an analysis discussion different provided. To improve car that use virtual technologies boost effectiveness particular training programs, data included this systematic those scheduled upcoming years may be interest.

Language: Английский

Citations

1

AUTOMATED DRIVING SYSTEMS: COMPARISON OF TRAINING METHODS’ EFFECTIVENESS DOI Creative Commons
Aleksandra Rodak, Małgorzata Pełka, Mikołaj Kruszewski

et al.

Transport Problems, Journal Year: 2024, Volume and Issue: 19(2), P. 19 - 32

Published: June 30, 2024

The second decade of the 21st century saw introduction vehicles equipped with various driver assistance systems. However, producers' plans go much further. In January 2023, Mercedes-Benz's DRIVE PILOT system was approved for use on public roads in Nevada (United States) as first and so far only SAE Level 3 series-production solution. Despite increasing automation, human factor remains important safety efficiency road transport. coming years, possibly decades, this will mainly be due to co-existence varying degrees automation necessary driver-vehicle interactions cases where an automated driving crosses boundaries operational design domain. latest research reveals limitations systems, pointing not need changes technological domain but also pay more attention psychological aspects using systems cognitive behavioral areas. Therefore, additional element implementation should considered, which is training focused modern solutions. Properly arranged conducted can treated facilitating mobility. article describes methods assessing effectiveness terms familiarizing drivers functions that automate driving. authors present results tests carried out a simulator implemented 4 (according classification). Three forms knowledge transfer were analyzed: practical training, e-learning, short user manual. compared interaction (e.g., activation), ensuring sufficiently reactive dangerous situations understands system. group 81 aged 18–65. Driver one main pillars Trustonomy project, received funding from EU innovation program Horizon 2020 under grant agreement No. 815003.

Language: Английский

Citations

0