Below is a non-exhaustive list of recent examples of scientific publications with research that has applied the Carnetsoft research simulator, to give an idea of the various fields of research this software has been used for:

2023

• Diogo Reisa, Ricardo Tomása, , Margarida C. Coelhoa, Eloisa Macedoa. 2023. Correlating driving behavior with safety performance: from the heart to the pedals with a driving simulator. Transportation Research Procedia 69, 217-224.
• Vera Lehmann MD, Thomas Zueger MD, Martin Maritsch PhD, Mathias Kraus PhD, Caroline Albrecht BSc, Caterina Bérubé MSc, Stefan Feuerriegel PhD, Felix Wortmann PhD, Tobias Kowatsch PhD, Naïma Styger BSc, Sophie Lagger MSc, Markus Laimer MD, Elgar Fleisch PhD, Christoph Stettler MD. 2023. Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes. Diabetes, Obesity and Metabolism, (25), 6, 1668-1676.
• Renuka Devi Seenivasan (2023). Trends in Electrodermal Activity, Heart Rate and Temperature during Distracted Driving among Young Novice Drivers. UWSpace. http://hdl.handle.net/10012/19029.
• A. Misra, S. Samuel, S. Cao and K. Shariatmadari, “Detection of Driver Cognitive Distraction Using Machine Learning Methods,” in IEEE Access, vol. 11, pp. 18000-18012, 2023,  doi: 10.1109/ACCESS.2023.3245122.
• Mack, M., Stojan, R., Bock, O. et al. The association of executive functions and physical fitness with cognitive-motor multitasking in a street crossing scenario. Sci Rep 13, 697 (2023). https://doi.org/10.1038/s41598-022-26438-x
• Tomás Espinoza-Palavicino, Patricio Mena-Chamorro, Javier Albayay, Arlette Doussoulin, Germán Gálvez-García, (2023). The use of transcutaneous Vagal Nerve Stimulation as an effective countermeasure for Simulator Adaptation Syndrome,
  Applied Ergonomics, 107, 103921.

2022

• Manuel Seet, Andrei Dragomir, Jonathan Harvy, Nitish V. Thakor, Anastasios Bezerianos. Objective assessment of trait attentional control predicts driver response to emergency failures of vehicular automation, Accident Analysis & Prevention, Volume 168, 2022, 106588.
• Mack, M., Stojan, R., Bock, O., & Voelcker-Rehage, C. (2022). Cognitive-Motor Multitasking in Older Adults: A Randomized Controlled Study on the Effects of Individual Differences on Training Success. Research Square.
• Babić D, Prelčec I, Babić D, Boroša V, Fiolić M. The Impact of Mobile Phone Use on Young Drivers’ Driving Behaviour and Visual Scanning of the Environment. Promet [Internet]. 2022Jun.1
• J. Harvy, A. Bezerianos and J. Li, “Reliability of EEG Measures in Driving Fatigue,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2743-2753, 2022, doi: 10.1109/TNSRE.2022.3208374.
• M. Maritsch et al., “Driver state prediction from vehicle signals: An evaluation of segmentation approaches,” 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 2022, pp. 1106-1113, doi: 10.1109/ITSC55140.2022.9922011.
• Suenghwan Jo, Hyeon Joon Lee, Won Bong Lim, Hyo Jun Lee, Soo Kyung Choi, 2022. Driving Simulator Brake Reaction Parameters After Total Hip Arthroplasty According to Different Surgical Approaches. The Journal of Arthroplasty, Volume 37, Issue 9,
  Pages 1809-1815, https://doi.org/10.1016/j.arth.2022.04.001.
• Sanzida Hossain, Jiaxing Lu, He Bai, Weihua Sheng, 2022.
  Stochastic Model Predictive Control for Coordination of Autonomous and Human-driven Vehicles, IFAC-PapersOnLine,
  Volume 55, Issue 41, Pages 142-147, https://doi.org/10.1016/j.ifacol.2023.01.117.
• Dario Babić, Mislav Stjepan Žebec, Darko Babić, Magdalena Čavka. 2022. Effect of chevron design on driver behaviour when encountering and passing through a dangerous curve,
  Transportation Research Part F: Traffic Psychology and Behaviour, Volume 86, Pages 370-383, https://doi.org/10.1016/j.trf.2022.03.010.
• Bumrungsup, L, Kanitpong, K. 2022. Analysis of rear-end crash potential and driver contributing factors based on car-following driving simulation, Traffic Injury Prevention,  1538-9588.  https://doi.org/10.1080/15389588.2022.2062334.
• Robert Stojan, Otmar Bock, Melanie Mack et al. Effect of additional tasks on the reaction time of braking responses in simulated car driving: beyond the PRP effect, 21 September 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2065665/v1]
• Fontana, S, La Rocca, S, Facchin, A, Vacchi, L, Lega, C. 2022. Using virtual reality to assess age-related differences in driving behaviour. Italian Workshop on Artificial Intelligence for an Ageing Society, 21st International Conference of the Italian Association for Artificial Intelligence, November 28th – December 2nd, 2022, University of Udine, Udine, Italy.
• Gökçe E, Stojan R, Mack M, Bock O, Voelcker-Rehage C. Lifestyle Matters: Effects of Habitual Physical Activity on Driving Skills in Older Age. Brain Sciences. 2022; 12(5):608. https://doi.org/10.3390/brainsci12050608
• Konstantin Wechsler, Otmar Bock, Torsten Schubert, Iring Koch,
  Dual-task interference in simulated car driving: The psychological refractory period effect when not only the second, but also the first task is ecologically relevant, 2022. Applied Ergonomics, Volume 102, 103722, https://doi.org/10.1016/j.apergo.2022.103722.

2021

• Babić D., Babić D., Fiolić M., Ružić M. (2021) Effect of Different Stop Sign Configurations on Driving Speed When Approaching a Rural Intersection at Night-Time. In: Petrović M., Novačko L. (eds) Transformation of Transportation. EcoProduction (Environmental Issues in Logistics and Manufacturing). Springer, Cham. https://doi.org/10.1007/978-3-030-66464-0_1
• Lehman et al.  The impact of postbariatric hypoglycaemia on driving performance: A randomized, single-blind, two-period, crossover study in a driving simulator. Diabetes, Obesity and Metabolism, 2021, 23, 9, 2189-2193.
• Yahoodik S, Samuel S, Yamani Y. Ethical Decision Making Under Time Pressure: An Online Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2021;65(1):601-605. doi:10.1177/1071181321651166
• Darko Babić, Dario Babić, Matus Sucha, Veronika Stanić, Mikulas Toman, The influence of music genres on the driving behaviour of young drivers and their visual scanning of the environment,
  Transportation Research Part F: Traffic Psychology and Behaviour, Volume 81, 2021, Pages 396-407
• Hong, S.; Baek, H.J. Drowsiness Detection Based on Intelligent Systems with Nonlinear Features for Optimal Placement of Encephalogram Electrodes on the Cerebral Area. Sensors 2021, 21, 1255.
• Stojan, Robert, and Claudia Voelcker-Rehage. “Neurophysiological correlates of age differences in driving behavior during concurrent subtask performance.”  NeuroImage 225 (2021): 117492.
• Otmar Bock, Robert Stojan, Konstantin Wechsler, Melanie Mack, Claudia Voelcker-Rehage, Distracting tasks have persisting effects on young and older drivers’ braking performance,
  Accident Analysis & Prevention, Volume 161, 2021, 106363
• Pilar Tejero, Javier Roca, Messages beyond the phone: Processing variable message signs while attending hands-free phone calls,
  Accident Analysis & Prevention, Volume 150, 2021, 105870

2020

• Jo, S., Lee, S.H., Jang, S.W. et al. Time taken to resume driving following hip arthroscopy. BMC Musculoskelet Disord 21, 643 (2020). https://doi.org/10.1186/s12891-020-03662-y
• M. Seet, J. Harvy, R. Bose, A. Dragomir, A. Bezerianos and N. Thakor, “Differential Impact of Autonomous Vehicle Malfunctions on Human Trust,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.3013278.
• Schuch S, Bock O, Freitag K, Moretti L. Cognitive Multitasking: Inhibition in Task Switching Depends on Stimulus Complexity. J Cogn. 2020 Sep 29;3(1):30. doi: 10.5334/joc.115. PMID: 33043240; PMCID: PMC7528661.
• Mai Mariam Mohamed Aminuddin, Haslinah Modh Nasir. (2020). Does Music Help to Stay Focus on the Road? WSEAS TRANSACTIONS on ACOUSTICS and MUSIC . DOI: 10.37394/232019.2020.7.1
• Bock, O., Drescher, U., van Winsum, W., Kesnerus, T. F., & Voelcker-Rehage, C. (2020). A Virtual-Reality Approach for the Assessment and Rehabilitation of Multitasking Deficits. In Management Association, I. (Ed.), Learning and Performance Assessment: Concepts, Methodologies, Tools, and Applications (pp. 800-811). IGI Global. http://doi:10.4018/978-1-7998-0420-8.ch037
• Young, Gareth et al. “Designing Mid-Air Haptic Gesture Controlled User Interfaces for Cars.” Proceedings of the ACM on Human-Computer Interaction 4.EICS (2020): 1–23. Crossref. Web.
• Laura Broeker,  Mathias Haeger, Otmar Bock, Bettina Kretschmann, Harald Ewolds, Stefan Künzell, Markus Raab, (2020). How visual information influences dual‑task driving and tracking. Experimental Brain Research 238:675–687
• Tejero, P., Pi-Ruano, M. & Roca, J. Better read it to me: Benefits of audio versions of variable message signs in drivers with dyslexia. Ann. of Dyslexia (2020). https://doi.org/10.1007/s11881-020-00199-6
• Babić, D.; Babić, D.; Cajner, H.; Sruk, A.; Fiolić, M. Effect of Road Markings and Traffic Signs Presence on Young Driver Stress Level, Eye Movement and Behaviour in Night-Time Conditions: A Driving Simulator Study. Safety 2020, 6, 24.
• Lindov O., Omerhodžić A. (2020) New Technologies for Improving Driver Response Efficiency in Risk Prevention from Traffic Environment. In: Karabegović I. (eds) New Technologies, Development and Application III. NT 2020. Lecture Notes in Networks and Systems, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-46817-0_67

2019

• Bock, O., Wechsler, K., Koch, I. et al. Dual-task interference and response strategies in simulated car driving: impact of first-task characteristics on the psychological refractory period effect. Psychological Research (2019) doi:10.1007/s00426-019-01272-5
• Pilar Tejero, Beatriz Insa, Javier Roca, Reading Traffic Signs While Driving: Are Linguistic Word Properties Relevant in a Complex, Dynamic Environment?, Journal of Applied Research in Memory and Cognition, Volume 8, Issue 2, 2019, Pages 202-213, ISSN 2211-3681, https://doi.org/10.1016/j.jarmac.2019.02.003.
• Bethan Hannah Topliss, Sanna M. Pampel, Gary Burnett, and Joseph L. Gabbard. 2019. Evaluating Head-Up Displays across Windshield Locations. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’19). ACM, New York, NY, USA, 244-253. DOI: https://doi.org/10.1145/3342197.3344524
• Züger, Thomas; Lehmann, Vera; Kraus, Mathias; Feuerriegel, Stefan; Kowatsch, Tobias; Wortmann, Felix; Laimer, Markus; Fleisch, Elgar & Stettler, Christoph, 2019. HEADWIND: Design and Evaluation of a Vehicle Hypoglycemia Warning System in Diabetes – A Proof of Principle Study,Swiss Society of Endocrinology and Diabetology Annual Meeting 2019 (SGED)
• van Winsum, W. (2019). A Threshold Model For Stimulus Detection In The Peripheral Detection Task. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 485-502,  https://doi.org/10.1016/j.trf.2019.08.014
• van Winsum, W. (2019). The effects of optic flow on peripheral detection performance. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 626-636.
• van Winsum, W. (2019). Optic flow and tunnel vision in the Detection Response Task. Human Factors, 61(6), 992–1003. https://doi.org/10.1177/0018720818825008. See here for the full article of the peer reviewed and accepted version.
• Tejero, P., Insa, B., & Roca, J. (2019). Difficulties of Drivers With Dyslexia When Reading Traffic Signs: Analysis of Reading, Eye Gazes, and Driving Performance. Journal of Learning Disabilities,52(1), 84-95.
• J. Harvy, N. Thakor, A. Bezerianos and J. Li, “Between-Frequency Topographical and Dynamic High-Order Functional Connectivity for Driving Drowsiness Assessment,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 3, pp. 358-367, March 2019. doi: 10.1109/TNSRE.2019.2893949.

2018

• van Winsum, W. (2018). The effects of cognitive and visual  workload on peripheral detection in the Detection Response Task. Human Factors, 60 (6), 855-869. See here for the full article of the peer reviewed and accepted version.
• A. Lemkaddem et al., “Multi-modal driver drowsiness detection: A feasibility study,” 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Las Vegas, NV, 2018, pp. 9-12.  doi: 10.1109/BHI.2018.8333357
• Seunghyeok Hong, Hyunbin Kwon, Sang Ho Choi, Kwang Suk Park, Intelligent system for drowsiness recognition based on ear canal electroencephalography with photoplethysmography and electrocardiography, Information Sciences, Volume 453, 2018,
  pp. 302-322, ISSN 0020-0255,  https://doi.org/10.1016/j.ins.2018.04.003.
• Tran, Duy & Du, Jianhao & Sheng, Weihua & Osipychev, Denis & Sun, Yuge & Bai, he. (2018). A Human-Vehicle Collaborative Driving Framework for Driver Assistance. IEEE Transactions on Intelligent Transportation Systems. PP. 1-16. 10.1109/TITS.2018.2878027.
• Wechsler, K., Drescher, U., Janouch, C., Haeger, M.,  Voelcker-Rehage, C., Bock, O.L. (2018). Multitasking During Simulated Car Driving: A Comparison of Young and Older Persons. Front. Psychol., 15 June.
• J. Harvy, E. Sigalas, N. Thakor, A. Bezerianos and J. Li, “Performance Improvement of Driving Fatigue Identification Based on Power Spectra and Connectivity Using Feature Level and Decision Level Fusions,” 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018, pp. 102-105. doi: 10.1109/EMBC.2018.8512259.
• Christin Janouch, Uwe Drescher, Konstantin Wechsler, Mathias Haeger Otmar Bock, Claudia Voelcker-Rehage (2018). Cognitive—Motor Interference in an Ecologically Valid Street Crossing Scenario. Front. Psychol., 03 May 2018 | https://doi.org/10.3389/fpsyg.2018.00602.
• D. Tran, H. Manh Do, W. Sheng, H. Bai and G. Chowdhary, “Real-time detection of distracted driving based on deep learning,” in IET Intelligent Transport Systems, vol. 12, no. 10, pp. 1210-1219, 12 2018. doi: 10.1049/iet-its.2018.5172
• Janouch, Christin & Drescher, Uwe & Wechsler, Konstantin & Haeger, Mathias & Bock, Otmar & Voelcker-Rehage, Claudia. (2018). Cognitive—Motor Interference in an Ecologically Valid Street Crossing Scenario. Frontiers in Psychology. 9. 10.3389/fpsyg.2018.00602.
• Haeger, Mathias & Bock, Otmar & Memmert, Daniel & Hüttermann, Stefanie. (2018). Can Driving-Simulator Training Enhance Visual Attention, Cognition, and Physical Functioning in Older Adults?. Journal of Aging Research, 2018. 1-9. 10.1155/2018/7547631.
• Tejero, Pilar & Insa, Beatriz & Roca, Javier. (2018). Difficulties of Drivers With Dyslexia When Reading Traffic Signs: Analysis of Reading, Eye Gazes, and Driving Performance. Journal of Learning Disabilities. 002221941876576. 10.1177/0022219418765766.
• Bock, O.; Drescher U.; van Winsum, W.; Kesnerus, K.; Voelcker-Rehage, C. (2018). A Virtual-Reality Approach for the Assessment and Rehabilitation of Multitasking Deficits. International Journal of Virtual and Augmented Reality, 2(1).
• Bock, O.; Drescher, U.; Janouch, C.; Haeger, M.; van Winsum, W.; Voelcker-Rehage C. (2018).  An experimental paradigm for the assessment of realistic human multitasking. Virtual Reality.
• Elkosantini, S., & Darmoul, S. (2018). A new framework for the computer modelling and simulation of car driver behavior. SIMULATION,94(12), 1081–1097.https://doi.org/10.1177/0037549717748747
• Tejero, Pilar & Insa, Beatriz & Roca, Javier. (2018). Increasing the default interletter spacing of words can help drivers to read traffic signs at longer distances. Accident Analysis and prevention. 117. 298-303. 10.1016/j.aap.2018.04.028.
• Roca, J & Tejero, P & Insa, B. (2018). Accident ahead? Difficulties of drivers with and without reading impairment recognising words and pictograms in variable message signs. Applied Ergonomics. 67. 83-90. 10.1016/j.apergo.2017.09.013.
• Wang, Hongtao & Dragomir, Andrei & Itrat Abbasi, Nida & Li, Junhua & Thakor, N.v & Bezerianos, Anastasios. (2018). A novel real-time driving fatigue detection system based on wireless dry EEG. Cognitive Neurodynamics. 12. 10.1007/s11571-018-9481-5.
• Roca, Javier & Insa, Beatriz & Tejero, Pilar. (2018). Legibility of Text and Pictograms in Variable Message Signs: Can Single-Word Messages Outperform Pictograms?. Human factors. 60. 18720817751623. 10.1177/0018720817751623.

2017

• P. Bodala, Indu & I. Abbasi, Nida & Sun, Yu & Bezerianos, Anastasios & Al-Nashash, Hasan & Thakor, N.v. (2017). Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments. Conference proceedings:  Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2017. 2478-2481. 10.1109/EMBC.2017.8037359.
• D. Tran et al., “A collaborative control framework for driver assistance systems,” 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017, pp. 6038-6043. doi: 10.1109/ICRA.2017.7989715
• D. Osipychev, Duy Tran, Weihua Sheng and G. Chowdhary. 2017. “Human intention-based collision avoidance for autonomous cars,” 2017 American Control Conference (ACC), Seattle, WA,  pp. 2974-2979. doi: 10.23919/ACC.2017.7963403
• Jakob Rodseth, Edward P. Washabaugh, Ali Al Haddad, Paula Kartje, Denise G. Tate, Chandramouli Krishnan, A novel low-cost solution for driving assessment in individuals with and without disabilities, Applied Ergonomics, Volume 65, 2017, Pages 335-344.

2016

• D. Tran, E. Tadesse, W. Sheng, Y. Sun, M. Liu and S. Zhang, “A driver assistance framework based on driver drowsiness detection,” 2016 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Chengdu, 2016, pp. 173-178. doi: 10.1109/CYBER.2016.7574817.
• Super, S; Aminuddin, M. M. M. Practicability of Meaningful Sound to Avoid Attention-Drifting Phenomenon While Driving. Advanced Science Letters, Volume 22, Number 9, September 2016, pp. 2138-2140(3)
• T. Hwang, M. Kim, S. Hong and K. S. Park, “Driver drowsiness detection using the in-ear EEG,” 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 4646-4649. doi: 10.1109/EMBC.2016.75917.
• More information about academic work can be found on ResearchGate…….

Examples of earlier publications

The scenario generation, traffic generation, data analyses and storage and real time simulation software is based on the research simulator software that was developed in the 90ties at the University of Groningen. A number of examples of publications based on an earlier version of this simulator software:

• Van Winsum. W., (1998). Preferred time headway in car-following and individual differences in perceptual-motor skills. Perceptual and Motor Skills, 87, 863-873.
• van Winsum. W., de Waard, D. & Brookhuis, K.A. (1999). Lane change manoeuvres and safety margins. Transportation Research Part F 2(1999), 139-149.
• van Winsum. W., Brookhuis, K.A. & de Waard, D. (1999). A comparison of different ways to approximate Time-to-Line Crossing (TLC) during car driving. Accident Analysis and Prevention, 32, 57-56.
• Van Winsum, W. & Brouwer, W. (1997). Time headway in car following and operational performance during unexpected braking.Perceptual and Motor Skills, 84, 1247-1257.
• Van Winsum, W. & Heino, A. (1996). Choice of time-headway in car-following and the role of time-to-collision information in braking. Ergonomics, 39(4), 579-592.
• Van Winsum, W. & Godthelp, H. (1996). Speed choice and steering behavior in curve driving. Human Factors, 38(3), 434-441.

Since then this driving simulator software has been extended and especially  the graphics has been improved substantially . It has laid the groundworks for numerous scientific publications by researchers all over the world.