{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T17:55:11Z","timestamp":1771264511231,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T00:00:00Z","timestamp":1752105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Foundation CAREER award","award":["CMMI-2238359"],"award-info":[{"award-number":["CMMI-2238359"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>This paper presents a multi-participant driving simulation framework designed to support traffic experiments involving the simultaneous collection of vehicle telemetry and cognitive data. The system integrates motion-enabled driving cockpits, high-fidelity steering and pedal systems, immersive visual displays (monitor or virtual reality), and the Assetto Corsa simulation engine. To capture cognitive states, dry-electrode EEG headsets are used alongside a custom-built software tool that synchronizes EEG signals with vehicle telemetry across multiple drivers. The primary contribution of this work is the development of a modular, scalable, and customizable experimental platform with robust data synchronization, enabling the coordinated collection of neural and telemetry data in multi-driver scenarios. The synchronization software developed through this study is freely available to the research community. This architecture supports the study of human\u2013human interactions by linking driver actions with corresponding neural activity across a range of driving contexts. It provides researchers with a powerful tool to investigate perception, decision-making, and coordination in dynamic, multi-participant traffic environments.<\/jats:p>","DOI":"10.3390\/systems13070564","type":"journal-article","created":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T11:26:37Z","timestamp":1752233197000},"page":"564","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Development of a Networked Multi-Participant Driving Simulator with Synchronized EEG and Telemetry for Traffic Research"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8009-9468","authenticated-orcid":false,"given":"Poorendra","family":"Ramlall","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Embry-Riddle Aeronautical University, 1 Aerospace Blvd, Daytona Beach, FL 32114, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8083-6504","authenticated-orcid":false,"given":"Ethan","family":"Jones","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Embry-Riddle Aeronautical University, 1 Aerospace Blvd, Daytona Beach, FL 32114, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5740-188X","authenticated-orcid":false,"given":"Subhradeep","family":"Roy","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Embry-Riddle Aeronautical University, 1 Aerospace Blvd, Daytona Beach, FL 32114, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.jsr.2024.08.002","article-title":"The effectiveness of driving simulator training on driving skills and safety in young novice drivers: A systematic review of interventions","volume":"91","author":"Krasniuk","year":"2024","journal-title":"J. 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Theory"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Feliciani, C., Crociani, L., Gorrini, A., Nagahama, A., Nishinari, K., and Bandini, S. (2019, January 2\u20135). Experiments and Usability Tests of a VR-Based Driving Simulator to Evaluate Driving Behavior in the Presence of Crossing Pedestrians. Proceedings of the Traffic and Granular Flow 2019, Pamplona, Spain.","DOI":"10.1007\/978-3-030-55973-1_58"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.trpro.2021.11.076","article-title":"Assessing sim racing software for low-cost driving simulator to road geometric research","volume":"58","author":"Castro","year":"2021","journal-title":"Transp. Res. Procedia"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"340576","DOI":"10.1155\/2015\/340576","article-title":"Traffic and Driving Simulator Based on Architecture of Interactive Motion","volume":"2015","author":"Paz","year":"2015","journal-title":"TheScientificWorldJournal"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Bengler, K., Dr\u00fcke, J., Hoffmann, S., Manstetten, D., and Neukum, A. (2018). The Multi-Driver Simulation: A Tool to Investigate Social Interactions Between Several Drivers. UR:BAN Human Factors in Traffic: Approaches for Safe, Efficient and Stress-free Urban Traffic, Springer Fachmedien.","DOI":"10.1007\/978-3-658-15418-9"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"025008","DOI":"10.1088\/2632-072X\/ad3ed6","article-title":"Validating a data-driven framework for vehicular traffic modeling","volume":"5","author":"Lane","year":"2024","journal-title":"J. Phys. Complex."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.ifacol.2023.12.051","article-title":"Using information theory to detect model structure with application in vehicular traffic systems","volume":"56","author":"Lane","year":"2023","journal-title":"IFAC PapersOnLine"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8456","DOI":"10.3390\/app14188456","article-title":"Comprehensive Review of Traffic Modeling: Towards Autonomous Vehicles","volume":"14","author":"ach","year":"2024","journal-title":"Appl. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.trc.2019.11.019","article-title":"A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed traffic","volume":"110","author":"Calvert","year":"2020","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"29","DOI":"10.52825\/scp.v4i.211","article-title":"SUMO Roundabout Simulation with Human in the Loop","volume":"4","author":"Previati","year":"2023","journal-title":"SUMO Conf. Proc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/S0001-4575(01)00056-2","article-title":"Driving simulator validation for speed research","volume":"34","author":"Godley","year":"2002","journal-title":"Accid. Anal. Prev."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1177\/0361198119844461","article-title":"Investigating Effect of Driver-, Vehicle-, and Road-Related Factors on Location-Specific Crashes with Naturalistic Driving Data","volume":"2673","author":"Ashley","year":"2019","journal-title":"Transp. Res. Rec."},{"key":"ref_20","unstructured":"Transportation Research Board and National Academies of Sciences, Engineering, and Medicine (2014). Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk, The National Academies Press."},{"key":"ref_21","unstructured":"Vickerman, R. (2021). Naturalistic Driving Studies: An Overview and International Perspective. International Encyclopedia of Transportation, Elsevier."},{"key":"ref_22","unstructured":"Fitch, G., Soccolich, S., Guo, F., McClafferty, J., Olson, R., P\u00e9rez-Toledano, M., Hanowski, R., Hankey, J., and Dingus, T. (2013). The Impact of Hand-Held and Hands-Free Cell Phone Use on Driving Performance and Safety-Critical Event Risk, Virginia Polytechnic Institute and State University. Technical Report."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.aap.2013.06.006","article-title":"Vehicle-based studies of driving in the real world: The hard truth?","volume":"58","author":"Carsten","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Abdelgawad, K., Gausemeier, J., Dumitrescu, R., Grafe, M., St\u00f6cklein, J., and Berssenbr\u00fcgge, J. (2017). Networked Driving Simulation: Applications, State of the Art, and Design Considerations. Designs, 1.","DOI":"10.3390\/designs1010004"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"113125","DOI":"10.1063\/5.0023243","article-title":"Quantifying interactions among car drivers using information theory","volume":"30","author":"Roy","year":"2020","journal-title":"Chaos: Interdiscip. J. Nonlinear Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s13534-018-00093-6","article-title":"Wearable EEG and beyond","volume":"9","author":"Casson","year":"2019","journal-title":"Biomed. Eng. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1038\/s41597-019-0027-4","article-title":"Multi-channel EEG recordings during a sustained-attention driving task","volume":"6","author":"Cao","year":"2019","journal-title":"Sci. Data"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.seizure.2019.08.006","article-title":"Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies","volume":"71","author":"Usman","year":"2019","journal-title":"Seizure"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Li, Z., Fields, M., Panov, F., Ghatan, S., Yener, B., and Marcuse, L. (2021). Deep Learning of Simultaneous Intracranial and Scalp EEG for Prediction, Detection, and Lateralization of Mesial Temporal Lobe Seizures. Front. Neurol., 12.","DOI":"10.3389\/fneur.2021.705119"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Sultana, M., Jain, O., Halder, S., Matran-Fernandez, A., Nawaz, R., Scherer, R., Chavarriaga, R., del R. Mill\u00e1n, J., and Perdikis, S. (2024, January 21\u201323). Evaluating Dry EEG Technology Out of the Lab. Proceedings of the 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, UK.","DOI":"10.1109\/MetroXRAINE62247.2024.10797021"},{"key":"ref_31","unstructured":"Wearable Sensing (2025, April 10). DSI-24. Available online: https:\/\/wearablesensing.com\/dsi-24."},{"key":"ref_32","unstructured":"Wearable Sensing (2025, April 10). Wireless Trigger Hub. Available online: https:\/\/wearablesensing.com\/wireless-trigger-hub."},{"key":"ref_33","first-page":"308","article-title":"American Clinical Neurophysiology Society Guideline 2: Guidelines for Standard Electrode Position Nomenclature","volume":"33","author":"Acharya","year":"2016","journal-title":"J. Clin. Neurophysiol. Off. Publ. Am. Electroencephalogr. Soc."},{"key":"ref_34","unstructured":"EMOTIV (2025, April 10). Understanding the 10-20 System of EEG Electrode Placement. Available online: https:\/\/www.emotiv.com\/blogs\/how-to\/understanding-the-10-20-system-of-eeg-electrode-placement."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5442","DOI":"10.1109\/TITS.2023.3240407","article-title":"Motion Sickness Prediction Based on Dry EEG in Real Driving Environment","volume":"24","author":"Bang","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"17891","DOI":"10.1109\/JSEN.2023.3292499","article-title":"A Novel Semi-Dry Electrode Suitable for Collecting EEG Data for Detecting Driving Fatigue in Long-Period Driving Case","volume":"23","author":"Wang","year":"2023","journal-title":"IEEE Sens. J."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Zander, T.O., Andreessen, L.M., Berg, A., Bleuel, M., Pawlitzki, J., Zawallich, L., Krol, L.R., and Gramann, K. (2017). Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving. Front. Hum. Neurosci., 11.","DOI":"10.3389\/fnhum.2017.00078"},{"key":"ref_38","unstructured":"Romagnoli, G. (2024, November 17). ACSharedMemoryDocumentation. Available online: https:\/\/assettocorsamods.net\/threads\/doc-shared-memory-reference-acc.3061."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Gramfort, A., Luessi, M., Larson, E., Engemann, D.A., Strohmeier, D., Brodbeck, C., Goj, R., Jas, M., Brooks, T., and Parkkonen, L. (2013). MEG and EEG data analysis with MNE-Python. Front. Neurosci., 7.","DOI":"10.3389\/fnins.2013.00267"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"McDonald, N.J., and Soussou, W. (September, January 30). QUASAR\u2019s QStates cognitive gauge performance in the cognitive state assessment competition 2011. Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA.","DOI":"10.1109\/IEMBS.2011.6091614"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"056031","DOI":"10.1088\/1741-2552\/aad96e","article-title":"Comparing brain connectivity metrics: A didactic tutorial with a toy model and experimental data","volume":"15","author":"Beauchene","year":"2018","journal-title":"J. Neural Eng."},{"key":"ref_43","first-page":"549","article-title":"So timely, Yet so stale: The impact of clock drift in real-time systems","volume":"2501","author":"Salimnejad","year":"2025","journal-title":"Comput. Res. Repos."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3399","DOI":"10.1109\/TVT.2022.3152611","article-title":"Strangers in a Strange Land: New Experimental System for Understanding Driving Culture Using VR","volume":"71","author":"Goedicke","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Miller, J., Kalivarapu, V., Holm, M., Finseth, T., Williams, J., and Winer, E. (2020, January 17\u201319). A Flexible Multi-Modal Multi-User Traffic Simulation for Studying Complex Road Design. Proceedings of the 40th Computers and Information in Engineering Conference (CIE), International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Virtual, Online.","DOI":"10.1115\/DETC2020-22654"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"107990","DOI":"10.1016\/j.aap.2025.107990","article-title":"Strategic crossing decisions in vehicle interactions at uncontrolled intersections: A networked driving simulator study","volume":"215","author":"Yang","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1177\/0361198118794712","article-title":"Impact of Distracted Drivers on Individual and Group Behavior of Following Vehicles: A Networked Multi-Driver Simulator Study","volume":"2672","author":"Xu","year":"2018","journal-title":"Transp. Res. Rec."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1016\/j.neuroimage.2006.11.004","article-title":"Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis","volume":"34","author":"Delorme","year":"2007","journal-title":"NeuroImage"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Michel, C.M., and Brunet, D. (2019). EEG Source Imaging: A Practical Review of the Analysis Steps. Front. Neurol., 10.","DOI":"10.3389\/fneur.2019.00325"}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/7\/564\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:07:42Z","timestamp":1760033262000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/7\/564"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,10]]},"references-count":49,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["systems13070564"],"URL":"https:\/\/doi.org\/10.3390\/systems13070564","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,10]]}}}