JOURNAL PUBLICATIONS

• Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads
  Pipkorn, L., Dozza, M., & Tivesten, E. (2022)
  Human Factors, 66(2), 336-347
  https://zenodo.org/records/11548833
• Three Player Interactions in Urban Settings: Design Challenges for Autonomous Vehicles
  Nathanael, D., & Papakostopoulos, V. (2023)
  Journal of Cognitive Engineering and Decision Making, 17(3), 236-255
  https://zenodo.org/records/11611204
• Misuse or abuse of automation? Exploring drivers’ intentions to nap during automated driving
  Wörle, J. (2023)
  Transportation Research Part F: Traffic Psychology and Behavior
  https://zenodo.org/records/10056859
• Barriers to the sustainable adoption of autonomous vehicles in developing countries: A multi-criteria decision-making approach
  Shahedi, A., Dadashpour, I., Rezaei, M. (2023)
  Heliyon, Volume 9, Issue 5, 2023, e15975, ISSN 2405-8440
  https://zenodo.org/records/11613606
• How certain are we that our automated driving system is safe?
  de Gelder, E., & Op den Camp, O. (2023)
  Traffic Injury Prevention 24(sup1), S131–S140.
  https://zenodo.org/records/11638124
• Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks
  S. Mozaffari, M. A. Sormoli, K. Koufos and M. Dianati (2023)
  IEEE Robotics and Automation Letters, vol. 8, no. 10, pp. 6123-6130, Oct. 2023
  https://zenodo.org/records/11638911
• Impact analysis of cooperative perception on the performance of automated driving in unsignalized roundabouts
  Zainudin, H., Koufos, K., Lee, G.,, Jiang, L., Dianati, M. (2023)
  Frontiers in Robotics and AI. vol. 10
  https://zenodo.org/records/11653057
• Towards the Definition of Metrics for the Assessment of ODDs
  Kaiser, B., Weber, H., Hiller, J., Engel., B. (2023)
  Open Research Europe 2023
  https://zenodo.org/records/11610392
• Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case
  Capello A, Fresta M, Bellotti F, Haghighi H, Hiller J, Mozaffari S, Berta R. (2023)
  Sensors. 2023 – MDPI; 23(18):7866
  https://zenodo.org/records/11655620
• DIPNet: Driver Intention Prediction for a Safe Takeover Transition in Autonomous Vehicle
  Bonyani, M., Rahmanian, M., Jahangard, S., Rezaei, M. (2023)
  IET Intelligent Transport Systems, 17 (9). pp. 1769-1783. ISSN 1751-956X
  https://zenodo.org/records/11656411
• 3D-Net: Monocular 3D object recognition for traffic monitoring
  Rezaei, M., Azarmi, M., Pour Mir, F.M. (2023)
  Expert Systems with Applications 227 (2023) 120253, ISSN 0957-4174
  https://zenodo.org/records/11657354
• Driver Response to Take-Over Requests in Real Traffic
  Pipkorn, L., Tivesten, E., Flannagan, C., Dozza, M. (2023)
  IEEE Transactions on Human-Machine Systems, vol. 53, no. 5, pp. 823-833, Oct. 2023
  https://zenodo.org/records/11657496
• Accelerating Stereo Image Simulation for Automotive Applications Using Neural Stereo Super Resolution
  Haghighi, H., Dianati, M., Donzella, V., Debattista, K. (2023)
  IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 11, pp. 12627-12636, Nov. 2023
  https://zenodo.org/records/11657496
• Gaze Entropy Metrics for Mental Workload Estimation are Heterogenous During Hands-Off Level 2 Automation
  Goodridge, C. M., Gonçalves, R. C., Arabian, A., Horrobin, A., Solernou, A., Lee, Y., Merat, N. (2023)
  https://zenodo.org/records/11926894
• Hi-Drive Driving Scenario Concept
  Sonntag, M., Weber, H., Rahmani, S., Gelder, E. de ., & Eckstein (2023) 
  https://zenodo.org/records/8207762
• User evaluation of comfortable deceleration profiles for highly automated driving 
  S. Carlowitz, P. Rossner, R. Madigan, HJ. Bieg, C. Marberger, N. Merat  et. al (2024) 
  https://zenodo.org/records/16420843
• The role of vision in sensory integration models for predicting motion perception and sickness 
  V. Kotian, T.Irmak, D.Pool, R. Happee (2024) 
  https://link.springer.com/article/10.1007/s00221-023-06747-x
• Benchmarking of Various LiDAR Sensors for Use in Self-Driving Vehicles in Real-World Environments 
  J. Schulte Tigges, M.Förster, G.Nikolovski, M.Reke, A.Ferrein, D.Kaszner, D.Matheis, T.Walter (2022)
  https://www.mdpi.com/1424-8220/22/19/7146
• Conceptualising user comfort in automated driving: Findings from an expert group workshop 
  C. Peng, S. Carlowitz, R. Madigan, C.Marberger, et. al (2024)
  Conceptualising user comfort in automated driving: Findings from an expert group workshop – ScienceDirect
• Personalizing motion sickness models: estimation and statistical modeling of individual-specific parameters 
  V. Kotian, D. Pool, R.Happee (2025)
  https://www.frontiersin.org/journals/systems-neuroscience/articles/10.3389/fnsys.2025.1531795/full
• Too sick to take over? − Impact of car sickness on cognitive performance related to driving in the context of automated driving 
  M. Metzulat, B. Metz, A. Landau (2025)
  https://www.frontiersin.org/journals/systems-neuroscience/articles/10.3389/fnsys.2025.1531795/fullFrontiers
• Behavioural adaptation to prototype level 3 automated driving systems on public roads 
  B. Metz, J.Wörle, S.Engel (2025)
  https://www.sciencedirect.com/science/article/abs/pii/S1369847825000518?via%3Dihub
• “It’s just another car driving” − Perceptions of U.S. residents interacting with driverless automated vehicles on public roads
  S. Nordhoff,  M. Hagenzieker, Y.M. Lee et. al (2025)
  https://www.sciencedirect.com/science/article/pii/S1369847825000245?via%3Dihub
• Asynchrony of directional auditory warnings and visual information in hands-on SAE level 2 automated vehicles:
  Analysis of driver responses | PLOS One 
  A. Arabian, C. Goodridge, N. Merat  (2025)
  https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0336941       
• Multimodal Assessment of Mental Workload During Automated Vehicle Remote Assistance:
  Modeling of Eye-Tracking-Related, Skin Conductance, and Cardiovascular Indicators 
  F. Walocha, A. Schrank, H.P. Nguyen (2025)
  https://www.mdpi.com/2078-2489/16/1/64        
• Examining the effect of personality on user acceptance of conditionally automated vehicles  
  S. Nordhoff, E. Lehtonen Walocha (2025)
  https://www.nature.com/articles/s41598-024-84776-4   
• Evaluating Driver Readiness in Conditionally Automated Vehicles From Eye‐Tracking Data and Head Pose 
  M. Kazemi, M. Rezaei, M. Azarmi (2025)
  https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/itr2.7000     
• Deep Learning-Based Real-Time Driver Cognitive Distraction Detection 
  M. Fresta, F. Bellotti, I. Bochenko et. al (2025)
  https://ieeexplore.ieee.org/document/10876120               
• Cross-country differences in willingness to use conditionally automated driving systems:
  Impact of technology affinity, driving skills, and perceived traffic climate – ScienceDirect 
  I. Öztürk, E. Lehtonen, R. Madigan et. al (2025)
  https://www.sciencedirect.com/science/article/pii/S0160791X25000934?via%3Dihub       
• Improving road user perception in adverse weather: An augmented human–machine interface for remote assistants of automated vehicles 
  A. Schrank, M. Wilbrink  S. Brandenburg, M. Oehl (2025)
  https://www.sciencedirect.com/science/article/pii/S1369847825001810?via%3Dihub
• Revealing the influence of semantic similarity on survey responses: A synthetic data generation approach 
  E. Lehtonen, T. Bruder-Gröndahl, S. Nordhoff (2025)
  https://ieeexplore.ieee.org/document/10906589                  
• Cyclists’ interactions with professional and non-professional drivers: Observations and game theoretic models 
  A. Mohammadi, A. Hossein Kalantari, G. Markkula, M. Dozza (2025)
  https://www.sciencedirect.com/science/article/pii/S1369847825001184?via%3Dihub       
• Using a traffic climate scale to understand drivers’ perceptions of their traffic system:
  An examination of measurement invariance across eight countries 
  I. Öztürk, R. Madigan, Y. M. Lee, et. al (2025)
  https://www.sciencedirect.com/science/article/pii/S136984782500030                 
• How to assess situation awareness while driving with automation?
  Impact of visual attention during AD mode on measures of situation awareness – ScienceDirect 
  B. Metz, J. Wörle, M. Metzulat, A. Neukum (2025)
  https://www.sciencedirect.com/science/article/abs/pii/S0001457525002283?via%3Dihub            
• A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions 
  S. Rahmani, S. Rieder, E. de Gelder et. al (2024)
  https://arxiv.org/abs/2410.08491                              
• How Do Passengers of Automated Vehicles Experience Comfort on Road? An Interview Study 
  C. Peng, I. Öztürk, R. Madigan et. al  (2025)
  https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5153713          
• Can seat suspension mitigate motion sickness and enhance vibration comfort while being driven? A subjective assessment of the K-Seat 
  F. Tajdari, C. Messiou, R. Happee, G. Papaioannou (2025)
  https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5183381              
• On-Board Deployability of a Deep Learning-Based System for Distraction and Inattention Detection 
  M. Fresta, F. Bellotti, L. Lazzaroni et. al (2025)
  https://ieeexplore.ieee.org/document/11134568                             
• Sick of being driven? – Prevalence and modulating factors of carsickness in the European population in context of automated driving 
  M. Metzulat, B. Metz, A. Edelmann et. al (2025)
  https://www.sciencedirect.com/science/article/pii/S0003687025001267        
• Exploring the Learning Strategies of Drivers Using Advanced Driver Assistance Systems (ADAS)  
  S. Kim, S. Calvert, M. Hagenzieker (2024)
  https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4974088              
• Safety impact of advanced driver assistance systems in Europe in 2030  
  A. Costa, S. Innamaa, F. Malin (2025)
  https://www.sciencedirect.com/science/article/pii/S0022437525001525
• Development and validation of the Automated Vehicle Acceptance Questionnaire for Pedestrians  
  S. Nordhoff, M. Hagenzieker, M. Wilbrink, M. Oehl (2025)
  https://www.sciencedirect.com/science/article/pii/S1369847825001421        
• Decoding acceptance of driver monitoring systems:
  Evaluating alternative measurement models, cross-country variations, and behavioural intention  
  I. Öztürk, E. Lehtonen, R. Madigan et. al (2026)
  https://www.sciencedirect.com/science/article/pii/S1369847825003390           
• A Motion for No Motion: The Redundancy of Motion Feedback in Low-Velocity Remote Driving of a Real Vehicle  
  E. Schippers, A. Schrank, V. Kotian et. al (2025)
  https://ieeexplore.ieee.org/document/11207635                              
• Enriched Pedestrian Crossing Prediction Using Carla Synthetic Data  
  M. Azarmi, M. Rezaei, H. Wang (2025)
  https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70104            
• Drivers’ engagement in NDRTs during automated driving linked to travelling speed and surrounding traffic  
  X. Liu, R. Madigan, E. Sadraei et. al (2024)
  https://www.sciencedirect.com/science/article/pii/S1369847824000160                  
• Crossing in the Dark: The Effect of Vehicle Kinematics and eHMI on Older Pedestrians’ Crossing Behaviour
  Y. M. Lee, R. Madigan, Y. Wang et.al (2025)
  Journal Advances in in Transportation Studies
  https://osf.io/preprints/psyarxiv/a2m9w_v1                 
• The Impact of N-back-Induced Mental Workload and Time Budget on Takeover Performance
  C. M. Goodridge, R. Goncalves, A. Arabian, A. Horrobin et. al (2025)
  Accident  Analysis & Prevention
  https://osf.io/preprints/psyarxiv/dpe47_v3         
• Human-like Deceleration: Will the role of external Human-Machine Interface change if the Automated Vehicle yields like a human?
  Y. M. Lee, R. Madigan, C. M. Goodridge, J. Garcia et. al (2025)
  Journal of Experimental Psychology
  https://osf.io/preprints/psyarxiv/zbcpg_v1   
• Test-track and On-Road studies: Methodological Insights on the Assessment of Carsickness and its Modulating Factors
  R. P. Xuan, A. Brietzke, H. Koerber (2026)
  Ergonomics

CONFERENCE PAPERS

• Explicit and Implicit Communication for Automated Vehicles.
  Reschke, J., Klaußner, M. (2022)
  Darmstädter Lichttechnik, vol. 19, Proceedings of the 14th International Symposium on Automotive Lighting: ISAL 2021, T. Q. Khanh, Ed., Munich: utzverlag, 2022, pp. 483–492.
  https://zenodo.org/records/11548362
• Communication with Exterior Lighting through High-Definition Front & Rear Signalling functions
  de Lamberterie, A., Moisy., E., Planche., G., Afonso, J., Mezari, R., Puscasu, O. (2022)
  SIA Vision 2022
  https://zenodo.org/records/11549362
• Creating a Framework for the Representativeness Assessment of Automated Driving Safety Assurance.
  Hiller, J., Kalyagina, S., Eckstein, L. (2022)
  28th ITS World Congress, Los Angeles (USA)
  https://zenodo.org/records/11549114
• Operating scenarios for testing Automated Driving Systems in challenging conditions
  Bolovinou, A., Anagnostopoulou, C., Weber, H., Satu, I.,  Hiller, J., Amditis, A., & Sauvaget, J-L. (2022)
  31st Aachen Colloquium Sustainable Mobility, Aachen (Germany)
  https://zenodo.org/records/11573616
• What leads drivers to illicitly nap during conditionally automated driving?
  Wörle, J., and Metz, B. (2022)
  8th International Conference on Driver Distraction and Inattention: DDI 2022, Gothenburg, pp. 85 -88
  https://zenodo.org/records/11576173
• Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks
  Hashemi, V., Křetínskỳ, J., Rieder, S., Schmidt, J. (2023)
  In: Chechik, M., Katoen, JP., Leucker, M. (eds) Formal Methods. FM 2023. Lecture Notes in Computer Science, vol 14000. Springer, Cham.
  https://zenodo.org/records/11612648
• Methodische Implikationen zur Herstellung von Motion Sickness im Realfahrzeug – Evaluation eines standardisierten Fahrprofils im öffentlichen Verkehr
  Metzulat, M., Metz, B. & Landau, A. (2023)
  VDI-Berichte 2411
  https://zenodo.org/records/11614562
• Local and Global Contextual Features Fusion for Pedestrian Intention Prediction
  Azarmi, M., Rezaei, M., Hussain, T., Qian, C. (2023)
  In: Ghatee, M., Hashemi, S.M. (eds) Artificial Intelligence and Smart Vehicles. ICAISV 2023. Communications in Computer and Information Science, vol 1883. Springer, Cham.
  https://zenodo.org/records/11616593
• Bayesian Integrity Monitoring for Cellular Positioning – A Simplified Case Study
  Ding, L., Seco-Granados, G., Kim, H. et al (2023)
  2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023: 1050-1056
  https://zenodo.org/records/11617336
• A Systematic Approach Towards the Definition of the Terms Edge Case and Corner Case for Automated Driving
  L. Vater, M. Sonntag, J. Hiller, P. Schaudt and L. Eckstein (2023)
  2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-6
  https://zenodo.org/records/11638750
• C-TAR: A Compositional Threat Analysis and Risk Assessment Method for Infrastructure-Based Autonomous Driving
  M. Abdelsalam, S. Greiner, O. Aktouf, A. Mercier (2023)
  6th International Workshop on Attacks and Defenses for Internet-of-Things, Sep 2023, The Hague, Netherlands
  https://zenodo.org/records/11654062
• Trajectory prediction with observations of variable-length for motion planning in highway merging scenarios
  Mozaffari, S., Alipour Sormoli, M., Koufos, K., Lee, G., Dianati, M. (2023)
  26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Bilbao, Bizkaia, Spain, 24-28 Sep 2023
  https://zenodo.org/records/11657166
• Using V2X Communications for Smart ODD Management of Highly Automated Vehicles
  Schulte-Tigges, J., Rondinone, M., Reke, M., Wachenfeld, J., Kaszner, D., (2023)
  26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Bilbao, Bizkaia, Spain, 24-28 Sep 2023
  https://zenodo.org/records/12941700
• Matching Function and Technology: Communication for Safety Applications and Superior User Experience
  J. Reschke, V. Schmidt, J. Frederking (2023)
  International Symposium on Automotive Lighting (ISAL), 27-28 September, Darmstadt, Germany
  https://zenodo.org/records/16685216
• Visually Induced Motion Sickness Correlates with On-Road Car Sickness 
  T. Irmak, K. de Winkel, R. Happee(2023) 
  https://zenodo.org/records/16942681
• Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection
  Sonntag, M., Vater, L., Vuskov, R., & Eckstein, L. (2024)
  Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 31–39
  https://zenodo.org/records/11115131
• An online-survey on user expectations and mental model of automated driving:
  The Effects of Automation Description and Technology Readiness
  Metz, B., Wörle, J., Neukum, A. (2024)
  Gesa Praetorius, Charlotte Sellberg and Riccardo Patriarca (eds) Advances in Human Factors of Transportation. AHFE (2024) International Conference
  https://zenodo.org/records/13120833
• A Synthetic Dataset Generator for Automotive Overtaking Maneuver Detection
  L. Forneris, R. Berta, A. Capello, M. Cossu, M. Fresta, F. Tango, F. Bellotti (2024)
  Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol.1110. Springer Cham.
  https://zenodo.org/records/12093184
• YoloP-Based Pre-processing for Driving Scenario Detection
  M. Cossu, R. Berta, L. Forneris, M. Fresta, L. Lazzaroni, JL. Sauvaget, F. Bellotti (2024)
  Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol.1110. Springer Cham.
  https://zenodo.org/records/12091763
• Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach
  L. Lazzaroni, A. Pighetti, F. Bellotti, A. Capello, M. Cossu, R. Berta (2024)
  Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol.1110. Springer Cham.
  https://zenodo.org/records/12090735
• Engaging in Activities while in an Automated Car Increases the Willingness to Tolerate Longer Travel Times
  Esko Lehtonen, Fanny Malin, Elina Aittoniemi, Satu Innamaa (2024). 12th Symposium of the European Association for Research in Transportation (hEART).  https://zenodo.org/records/16420714    
• Improving takeover performance during cognitive distraction with an adaptive gaze-based HMI
  L. Lazzaroni, A. Pighetti, F. Bellotti, A. Capello, M. Cossu, R. Berta (2024)
  Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol.1110. Springer Cham. https://zenodo.org/records/16632005                                           
• Model-Based Security Analysis of Interconnected Subsystems: A Methodology for Security Compatibility Evaluation 
  M. Abdelsalam, I. Mpidi Bita, S. Greiner, O. El-Kheir Aktouf, A. Mercier (2024)
  21st Annual International Conference on Privacy Security and Trust (PST), Sydney, Australia https://zenodo.org/records/16637908   
• Still fit to drive?  How car sickness affects takeover and driving performance  
  M. Metzulat, B. Metz, W. Kunde (2024)
  9th International Conference on Driver Distraction and Inattention (DDI 2024), October 22-24, Michigan, USA
  https://zenodo.org/records/16631502
• Assessing Situation Awareness while Driving with Automation   
  Metzulat, B. Metz, J. Wörle (2024)
  9th International Conference on Driver Distraction and Inattention (DDI 2024), October 22-24, Michigan, USA
  https://zenodo.org/16632612
• Assisting the Remote Assistant: Augmenting Degraded Video Streams with Additional Sensor Data to Improve Situation Awareness in Complex Urban Traffic  
  A. Schrank, N. Wendorff, M. Oehl (2024)
  In Stephanidis, C. Antona M., S. Ntoa, G. Salvendy (eds) HCI International 2024 Posters. HCII 2024, Communications in Computer and Information Science, vol. 2118. Springer, Cham.
  https://zenodo.org/records/16947855
• Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems   
  L. Vater, S. Tarlowski, M. Schuldes, L. Eckstein (2024)
  2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, 2024, pp. 1266-1271
  https://zenodo.org/records/16636052
• A Conceptual model for assessing mode shift impacts on road fatalities and injuries      
  I. Maasalo, E. Lehtonen, F. Malin, A. Fadel da Costa, S. Innamaa (2024)
  International Cooperation on Theories and Concepts in Traffic Safety ICTCT 2024, The Hague, The Netherlands, 17-18 October 2024    
  https://zenodo.org/records/16636533
• Age-based Differences in Pedestrian’s Feeling of Trust and Safety when Crossing in Front of a Real Communicating Self-Driving Car during Daytime or Nighttime      
  A. Sahai, O. Puscasu, N. Métayer (2024)
  In Tareq Ahram, Luca Casarotto, Pietro Costa (eds), Human Interaction and Emerging Technologies, (IHIET 2024, AHFE International Conference, AHFE Open Access, vol.1, USA     
  https://zenodo.org/records/16636889
• NordicDat: A Cross-Border Predictive QoS Dataset       
  T. Miekkala et. al (2025) 
  Globecom 2024, IEEE Global Communication Conference, Cape Town, South Africa, 2024, pp. 1281 – 1286      
  https://zenodo.org/records/16942344
• Automated vehicles with communication capabilities: Is there an added impact on traffic efficiency at yield-sign controlled intersections?        
  N. Georgiou, E. Portouli, A. Amditis (2025) 
  In Alexandra Medina-Borja and Krystyna Gielo-Perczak (eds) Human Factors in Robots, Drones and Unmanned Systems. AHFE (2025) International Conference, AHFE Open Access, vol. 179, AHFE International, USA       
  https://zenodo.org/records/16941927
• A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems
  H. Haghighi, M. Dianati, V. Donzella, K. Debattista (2024)
  In Computer Vision and Pattern Recognition, Canada
  https://arxiv.org/abs/2312.15817
• Review of the Learning-based Camera and Lidar Simulation Methods for Autonomous Driving Systems    
  H. Haghighi, X. Wang, H.Jing, M.Dianati (2025)
  In Computer Vision and Pattern Recognition, USA
  https://arxiv.org/abs/2402.10079
• Instrument for the assessment of road user automated vehicle acceptance: A pyramid of user needs of automated vehicles
  S. Nordhoff, M. Hagenzieker, E. Lehtonen et.al (2023)
  https://arxiv.org/pdf/2309.10559
• MATE-AV: A VR-based training environment to teach occupants’ how to adopt a comfort-oriented postural control in a vehicle
  C. Croucher, F. Pauwels, R. P. Xuan et.al (2025)
  https://www.researchsquare.com/article/rs-5879902/v1
• Drivers’ Attention to Dash-based Human-Machine Interfaces: The Effect of Partial Automation and Cognitive Load
  H. Qin, R. C. Goncalves, C. M. Goodridge, N. Merat (2025)
  https://doi.org/10.1145/3744333.3747829
• Exploring user comfort in automated driving: A qualitative study with younger and older users using the Wizard-Of-Oz method
  C. Peng, I. Öztürk, S. Nordhoff, R. Madigan et. al (2023) Automotive UI 2023, 15th International Conference on Automotive Interfaces and Interactive Vehicular Applications
  https://dl.acm.org/doi/10.1145/3581961.3609853
• Pedestrian Intention Prediction via Vision-Language Foundation Models
  M. Azarmi, M. Rezaei, H. Wang (2023)
  IEEE Intelligent Vehicles Symposium
  https://ieeexplore.ieee.org/document/11097349
• Comparison of measurement models for acceptance of the driver monitoring systems (DMS)
  I. Öztürk, E. Lehtonen, R. Madigan et. al (2025)
  37th conference on International Cooperation on Theories and Concepts in Traffic Safety (ICTCT), 23-24 October 2025, Berlin, Germany
  https://www.ictct.net/wp-content/uploads/37-Berlin-2025/BoA_final.pdf
• Do Drivers have Preconceived Ideas about an Automated Vehicle’s Driving Behaviour?
  Y. Li, Y. M. Lee, Y, Yang, K. Tian et. al (2023) Automotive UI 2023, 15th International Conference on Automotive Interfaces and Interactive Vehicular Applications
  https://dl.acm.org/doi/10.1145/3580585.3607155
• Improving takeover performance during cognitive distraction with an adaptive gaze-based HMI
  G. Merlhiot (2024)
  9th International Conference on Driver Distraction and Inattention, 22-24 October 2024, Michigan, USA
  https://zenodo.org/records/16632005
• Assessment and Prediction of Remote Operators’ Mental Workload Through AoI Data in AV Scenar
  A. Valerio, H. P. Nguyen, K. Ihme, F. Walocha (2025)
  MUC 2025, Proceedings of the 2025 Mensch und Computer, 31.8 – 3.09.2025
  https://dl.acm.org/doi/10.1145/3743049.3748583
• Older passengers’ expectations about highly automated driving: Implications for inclusive designs
  C. Peng, I. Öztürk, R. Madigan et. al (2025)
  Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 177-182)
  https://dl.acm.org/doi/10.1145/3744335.3758501
• Working Hours and Automated Driving: Effects on Acceptance and Purchase
  F. da Costa, A. Lehtonen, E. Aittoniemi, R. Madigan et. al (2025)
  Abstract from Humanist Virtual Centre of Excellence Conference 2025, Chemnitz, Germany
  https://cris.vtt.fi/en/publications/working-hours-and-automated-driving-effects-on-acceptance-and-pur/
• Behind the wheel and under observation: A cross-cultural examination of concerns over driver monitoring systems
  I. Öztürk, R. Madigan, Y. M. Lee, E. Aittoniemi, N. Merat (2025)
  Road Safety on Five Continents, Lees, United Kingdom
  
• An investigation of how drivers’ knowledge and use of advanced driver assistance systems (ADAS) varies between countries
  I. Öztürk, R. Madigan, N. Merat (2025)
  National Road Safety Conference. Wyboston Lakes, United Kingdom
• Cross-country variation in the acceptance of automated driving:
  A study based on 51,813 survey respondents
  E. Lehtonen, A. Costa, I. Öztürk et. al (2026)
  TRA 2026 Conference Proceedings, 18-21 May, Hungary, Budapest
• Working While Commuting in an Automated Vehicle: Impact on Acceptable Travel Times
  A. Costa, E. Lehtonen, I. Öztürk et. al (2026)
  TRA 2026 Conference Proceedings, 18-21 May, Hungary, Budapest

PHD THESES

• The driver response process in assisted and automated driving
  Pipkorn, Linda (2022)
  Chalmers University of Technology
  https://zenodo.org/records/11576888
• A Simulation-based Framework for Highway Driving Scenario Recognition
  Cossu, Marianna (2025)
  Università degli Studi di Genova
  https://tesidottorato.depositolegale.it/handle/20.500.14242/199671
• An End-to-End Edge-Computing Framework for IoT-enabled Monitoring
  Cappello, Alessio (2025)
  Università degli Studi di Genova
  phdunige_3811643.pdf
• Computational interaction models for automated vehicles and cyclists
  Mohammadi, Ali (2023)
  Chalmers University of Technology
  https://research.chalmers.se/publication/537486/file/537486_Fulltext.pdf

MASTER’S THESIS

• The Influence of Initial Overtrust on Pedestrian Behaviour in Response to Incongruent Behaviour of Connected and Automated Vehicles
  Veldhuis, Shawn (2023)
  Utrecht University
  https://elib.dlr.de/196249
• Influence of an Additional Pedestrian and an External Human-Machine Interface on one‘s Crossing Behavior in front of an Automated Vehicle in a Shared Space Environment
  Stelter, Sarah (2024)
  Technische Universität Berlin
  https://elib.dlr.de/204135
• Analyzing Spatial Eye-Tracking Data of Teleoperators to Assess Workload in Automotive Fleet Management
  Valerio, Andrea (2025)
  University of Trento
  https://elib.dlr.de/213522/

FIA Region 1 &  11 European Mobility Clubs “User Education Campaign”