Publications

1. Tan, X., & Zhang, Y*. (2025). Understanding driver response to multi-stage takeover requests across varied modalities: A computational cognitive modeling approach. Transportation Research Part C: Emerging Technologies,174(2025), 105114. https://www.sciencedirect.com/science/article/pii/S0968090X25001184

2. Tan, X., Zhang, Y.*. (2024). Driver Situation Awareness for Regaining Control from Conditionally Automated Vehicles: A Systematic Review of Empirical Evidence. Human Factors, 67(4), 367-403.

3. Baby, T., Ippoliti, H.S., Wintersberger, P., Zhang, Y., Yoon, S.H., Lee, J. (2024). Development and classification of autonomous vehicle’s ambiguous driving scenario. Accident Analysis & Prevention, 200 (2024), 107501.

4. Wang, B., Asan, O., & Zhang, Y. (2024). Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems. International Journal of Medical Informatics, 181 (2024), 105301.

5. Ma. Z, Zhang, Y*. (2024). Fostering drivers’ trust in automated driving styles: The role of driver perception of automated driving maneuvers. Human Factors, 66(7), 1961-1976. https://doi.org/10.1177/00187208231189661

6. Sanghavi, H., Zhang, Y., and Jeon, M*. (2023). Exploring the influence of driver affective state and auditory display urgency on takeover performance in semi-automated vehicles: Experiment and modelling. International Journal of Human-Computer Studies, 171, 102979. Link

7. Freed, S., Ross, L., Mogle, J., Gamaldo, A., & Zhang, Y. (2023). Driver license renewal requirements predict driving mobility among older drivers with health-related travel difficulties. Transportation Research Record, 03611981231155903. Link

8. Greene, A., Zhang, Y., Onur, A., Clark, J.B., Fell, B., Harter, K., Samson, T., Ravnic, D., Cilley, R.E., Dillon, P., Mackay, D., Tsai, A. (2023). Successful application of the innovation process to a case of Floyd Type I tracheal agenesis. Surgery Open Science, 11, 73-76.

9. Ma. Z., Zhang, Y*. (2022). Effects of Driver's Driving Styles and Types of Interaction on Driver-Automated Vehicle Interaction in Mixed Traffic. Human Factors, 0(0). https://doi.org/10.1177/00187208221088358

10. Tan, X., Zhang, Y.*. (2022). A computational cognitive model of driver response time for scheduled freeway exiting takeovers in conditionally automated vehicles. Human Factors, 66(5), 1583-1599. https://doi.org/10.1177/00187208221143028 

11. Ko, S., Sanghavi, H., Zhang, Y.*, and Jeon, M*. (2022). Modeling the effects of perceived intuitiveness and urgency of various auditory warnings on driver takeover performance in autonomous vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 90 (2022), 70-83. Link

12. Zhang, Y*., Wu, C., Qiao, C., Sadek, A., Hulme, K. (2022). A cognitive computational driver model of warning response performance in connected vehicle systems. IEEE Transactions on Intelligent Transportation System. PDF

13. Tan, X., Zhang, Y.*. (2022). The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles. Accident Analysis & Prevention. PDF

14. Avalos, J., Roy, D., Asan, O, Zhang, Y*. (Accepted). The Influential Factors on Nurses’ Situation Awareness in Inpatient Settings: A Literature Review. Human Factors in Healthcare. PDF

15. Tan, X., Zhang, Y.*, and Wang, Y. (2022). Assessing the Potential Impacts of Connected Vehicle Systems on Driver’s Situation Awareness and Driving Performance. Transportation Research Part F: Traffic Psychology and Behaviour, 84, 177-193. PDF

16. Ma, Z., &  Zhang, Y. (2021). Driver trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles. Accident Analysis & Prevention, 159, 106238.

17. Ko, S., Kutchek, K., Zhang, Y., & Jeon, M. (2021). Effects of Non-Speech Auditory Cues on Control Transition Behaviors in Semi-Automated Vehicles: Empirical Study, Modeling, and Validation. International Journal of Human–Computer Interaction, 1-16.

18. Zhang, Y., Wu, C., Qiao, C., & Hou, Y. (2019). The effects of warning characteristics on driver behavior in connected vehicles systems with missed warnings. Accident Analysis & Prevention, 124, 138-145.

19. Yang, Z., Shi, J., Zhang, Y., Wang, D., Li, H., Wu, C., Zhang, Y. and Wan, J. (2018). Head-up Display Graphic Warning System Facilitates Simulated Driving Performance. International Journal of Human–Computer Interaction, 1-8.

20. Zhang, Y., Wu, C., Wan, J. (2017). A human-in-the-loop wireless warning message notification model and its application in connected vehicle systems. Journal of Intelligent Transportation System, 21(2), 148-166. PDF

21. Zhang, Y., Wu, C., & Wan, J (2017). Development and validation of a model to predict blood alcohol concentrations: Updating the NHTSA equation. Addictive Behaviors, 71, 46-53. PDF

22. Wan, J., Wu, C., & Zhang, Y, Houston, R., Chang, W., & Chanawang., P. (2017). Drinking and driving behavior at stop signs and red lights. Accident Analysis & Prevention, 104, 10-17.  PDF

23. Zhang, Y., Wu, C., Wan, J. (2016). Mathematical modeling of the effects of speech warnings characteristics on human performance and its application in transportation cyber-physical systems. IEEE Transactions on Intelligent Transportation System, 17(11), 3062-3074. PDF

24. Zhang, Y., Houston, R., & Wu, C. (2016). Psychometric examination and validation of the aggressive driving scale (ADS). Aggressive Behavior, 42(4), 313-323.  PDF

25. Li, H., Zhang, Y., Wu, C., & Mei, D. (2016). The effects of field dependence-independence and frame of reference on navigation performance using multi-dimensional electronic maps. Personality and Individual Differences, 97, 289-299. (IF=1.946) PDF

26. Wan, J., Wu, C., & Zhang, Y. (2016). Effects of lead time of verbal collision warning messages on driving behavior in connected vehicle settings. Journal of Safety Research, 58, 89-98. PDF

27. Zhang, Y., Wu, C., Qiao, C., Sadek, A., & Hulme, K. F. (2015). Addressing the safety of transportation cyber-physical systems: development and validation of a verbal warning utility scale for intelligent transportation systems. Mathematical Problems in Engineering, 2015, 1-13. PDF

28. Wang, S., Zhang, Y., Wu, C., Darvas, F., Chaovalitwongse, W.A. (2015). Online prediction of driver distraction based on brain activity patterns. IEEE Transactions on Intelligent Transportation System, 16(1), 136-150. PDF

29. Zhang, Y. and Wu, C. (2013). The effects of sunshields on red light running behavior of cyclists and electric bike riders. Accident Analysis & Prevention, 52, 210-218. PDF

Mentored students are underlined. The corresponding author has a *.

1. Zhang, Y.*, Kim, R. & Brennan, S. (2025). Effects of Training Content and Approach on Drivers’ Understanding of and Performance with Advanced Driver Assistance Systems (Technical Report). Washington, D.C.: AAA Foundation for Traffic Safety. https://trid.trb.org/View/2551052

2. Wu, S., Kim, E., Freivalds, A., Zhang, Y., & Parkinson, M. (2024). Assessing Lifecycle and Human Costs of Bus Operator Workstation Design and Components (No. TCRP Project G-17).

Mentored students are underlined. The corresponding author has a *.

1. Tan, X., Zhang, Y.*. (Revise and resubmit). Multi-stage takeover requests design for L3 automated vehicles: Driver situation awareness and takeover behaviors.

2. Chen, B., Zhang, Y.*. (Submitted). Mitigating aggression toward AVs in mixed traffic: Effects of automated driving styles and human driving styles.

3. Chen, B., Ma, Z, Zhang, Y*,. (In preparation). Driving in mixed traffic: Will increased number of automated vehicles change driver behaviors?

4. Kim, R., Zhang, Y. (In preparation). The effects of training content on drivers’ understanding, performance, trust and acceptance of advanced driving assistance systems (ADAS).

5. Kim, R., Zhang, Y. (In preparation). Understanding the effect of training modes and training approaches on drivers’ mental model, usage behaviors and subjective evaluation of ADAS.

1. Chen, B. #, Zhang, Y.*. (2024). Mitigating aggressive driving in mixed traffic: The role of driving styles of automated vehicles and human-driven vehicles. Transportation Research Board Annual Meeting.

2. Tan, X. #, Zhang, Y.*. (Accepted in May 2023). Analyzing driver strategy for scheduled takeovers under the effect of multi-stage takeover request design. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

3. Ma, Z., & Zhang, Y* #,. (Accepted in May 2023). Driving in mixed traffic: will increased penetration rates of automated vehicles change driver behaviors. In Proceedings of the Human Factors and Ergonomic Society annual meeting.

4. Gupta, S. #,, Zhang, Y.* #,. (Accepted in May 2023). Predicting driver takeover decisions in conditionally automated vehicles with a gaze-based deep learning model. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 

5. Tan, X. #, Zhang, Y.*. (2022). Modeling the effect of takeover request lead time on driver reaction time for freeway existing in conditionally automated vehicles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66 (1), 1601-1601. SAGE Publishing

6. Ma, Z. #, & Zhang, Y*. (2022). Investigating the effects of automated driving style and driver driving style on drivers' perception of automated driving indicators. In Proceedings of the Human Factors and Ergonomic Society annual meeting, 66 (1), 1859-1859. SAGE Publishing.

7. Gupta, S. #, Mishra, R., Chang, Y., Ma, Zheng, Ma, F., & Zhang, Y.*. (2022). Modeling driver takeover intention in automated vehicles with attention-based CNN algorithm. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1), 1607–1611. 

8. Jeon, M. #, Zhang, Y. #, Jeong, H. #, & Bao, S #. (2022). “Dummies, learning modeling made easy”: Improving modeling education in human factors research. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66 (1), 1586-1590. SAGE Publishing

9. Lee, S. C. #, Sahin, H., Zhang, Y., Yoon, S. H., Lee, J., Boll, S., & Wintersberger, P. (2022, September). A workshop on driving style of automated vehicles in ambiguous driving scenarios. In Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 182-185).

10. Tan, X., Zhang, Y.*. (Accepted). The Relationship Between Takeover Request Lead Time and Drivers’ Situation Awareness for Manually Exiting from Freeways: A Web-based Study on Conditional Automation in Driving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

11. Jeon, M., Zhang, Y., Jeong, H., P. Janssen, C., & Bao, S. (2021, September). Computational Modeling of Driving Behaviors: Challenges and Approaches. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 160-163).

12. Mishra, R., & Zhang, Y. *(2020). The Prediction of Collisions in Connected Vehicle Systems with A Long Short-Term Memory Model. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 64, No. 1, pp. 775-779). Sage CA: Los Angeles, CA: SAGE Publications.

13. Zheng, M., & Zhang, Y. *(2020). Investigating the Effects of Automated Driving Styles and Driver’s Driving Styles on Driver Trust, Acceptance, and Take Over Behaviors. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 64, No. 1, pp. 2001-2005). Sage CA: Los Angeles, CA: SAGE Publications.

14. Sanghavi, H. #, & Zhang, Y., Jeon, M. (2020). Effects of Anger and Display Urgency on Takeover Performance in Semi-automated Vehicles. In Proceedings of the 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications.

15. Tan, X.*, Zhang, Y. (2019, October). The effects of warning lead time on driver situation awareness in connected vehicle systems. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

16. Zhang, Y., Wu, C., Qiao, C., & Hou, Y. (2018, October). Effects of Warning Characteristics on Driver Performance in Connected Vehicle Systems With Missing Warnings. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Philadelphia, PA.

17. Zhang, Y., Wu, C. (2018, October). Modeling the Effects of Warning Lead Time, Warning Reliability, and Warning Style on Human Performance Under Connected Vehicle Settings. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Philadelphia, PA.

18. Zhang, Y., Wu, C. (2017, October). Learn to Integrate Mathematical Models in Human Performance Modeling. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Austin, TX.

19. Wan, J., Wu, C., & Zhang Y., Houston, R., Chen, C., & Chanawangsa, P. (2016, January). Drinking and Driving Behavior at Stop Signs. Transportation Research Board (TRB) 2016 Annual Meeting, Washington, DC. 

20. Zhang, Y., Wu, C. (2014, October). Modeling the effect of loudness and semantics of speech warnings on human performances. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 58, No.1, pp. 817-821). Chicago, IL: SAGE Publications. 

21. Zhang, Y., Houston, R., & Wu, C. (2014, October). Psychometric examination and validation of the aggressive driving scale (ADS). In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 58, No.1, pp. 2131-2135). Chicago, IL: SAGE Publications. 

22. Zhang, Y., Wu, C. (2014, September). The application of the human-in-the-loop warning messages notification model in the design of vehicle-to-infrastructure (V2I) communication systems. In 21st World Congress on Intelligent Transport Systems. Detroit, MI. 

23. Wan, J., Wu, C., & Zhang Y. (2014, October). The effects of lead time of collision warning messages on driving performance. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, (Vol. 58, No.1, pp. 2088-2092). Chicago, IL: SAGE Publications. 

24. Zhang, Y., Wu, C., Wan, J., & Qiao, C. (2013, October). Development and validation of warning message utility scale (WMUS). In Proceedings of 2013 Annual Meeting of the Human Factors and Ergonomics Society (pp. 1179-1183). San Diego, CA: SAGE Publications. 

*Student mentored by Zhang for the publication.

1. Zhang, Y. (2025). Will increased penetration rates of automated vehicles change driver behaviors? Presented at the 2025 Safe Mobility Conference, Madison, WI.

2. Chen., H., Zhang, Y. (2025). Mitigating aggressive driving in mixed traffic: The role of driving styles of automated vehicles and human-driven vehicles. Presented at the 2025 Transportation Research Board Annual Meeting.

3. Zhang, Y. (2024). Navigating the future: Enhancing human-vehicle interaction in connected and automated vehicles. Presented at the 24th COTA International Conference of Transportation Professionals (CICTP2024).

4. Zhang, Y. (2023). Driving into the future: Human Factors in Transportation Safety.  Stevens Institute of Technology (Invited Seminar), Hoboken, NJ, 2023.

5. Zhang, Y. (2023). Predicting driver takeover decisions in conditionally automated vehicles with a gaze-based deep learning model. Presented at the Human Factors and Ergonomics Society (HFES) 67th Annual Meeting, 2023.

6. Ma, Zheng., Zhang, Y. Chen., H.#, (2023). Driving in mixed traffic: Will increased penetration rates of automated vehicles change driver behaviors? Presented at the Human Factors and Ergonomics Society (HFES) 67th Annual Meeting, 2023.

7. Tan, X. #, Zhang, Y. (2023). Analyzing driver strategy for scheduled takeovers under the effect of multi-stage takeover request design. Presented at the Human Factors and Ergonomics Society (HFES) 67th Annual Meeting, 2023.

8. Zhang, Y. (2022). Dummies, learning modeling made easy: Improving modeling education in human factors research. Presented at the Human Factors and Ergonomics Society (HFES) 66th Annual Meeting, 2022.

9. Ma, Zheng., Zhang, Y. (2022). Investigating the effects of automated driving style and drivers’ driving style on drivers’ perception of automated vehicle driving indicators. Presented at the Human Factors and Ergonomics Society (HFES) 66th Annual Meeting, 2022.

10. Gupta, S., Zhang, Y. (2022). Modeling driver takeover intentions in automated vehicles with an attention-based CNN algorithm. Presented at the Human Factors and Ergonomics Society (HFES) 66th Annual Meeting, 2022.

11. Tan, X. #, Zhang, Y. (2022). Modeling the effect of takeover request lead time on driver reaction time for freeway existing in conditionally automated vehicles. Presented at the Human Factors and Ergonomics Society (HFES) 66th Annual Meeting, 2022.

12. Zhang, Y. (2022). Driver performance modeling and its application in connected and automated vehicles. Texas A& M University (Invited Seminar), College Station, TX, 2022.

13. Zhang, Y. (2021). Computational modeling of driving behaviors: Challenges and approaches. Presented at 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2021.

14. Tan, X. #, Zhang, Y. (2021). The relationship between takeover request lead time and drivers’ situation awareness for manually exiting from freeways: A web-based study on conditional automation in driving. Presented at the Human Factors and Ergonomics Society (HFES) 65th Annual Meeting, 2021.

15. Zhang, Y. (2021). Introduction of human factors issues in transportation systems. Pennsylvania State University (Invited Seminar for IE 100), State College, PA. September 2021.

16. Zhang, Y. (2021). Human-vehicle interaction in the intelligent transportation systems. Pennsylvania State University (Invited Seminar for IE 590), State College, PA. September 2021.

17. Zhang, Y. (2021). Human-vehicle interaction in the new age of transportation. Pennsylvania State University (Invited Seminar for IE 590), State College, PA. March 2021.

18. Zhang, Y. (2021). Introduction of human-technology interaction lab. Pennsylvania State University (Invited Seminar for IE 100), State College, PA. February 2021.

19. Ma, Zheng., Zhang, Y. Investigating the effects of automated driving styles and driver’s driving styles on driver trust, acceptance, and take over behaviors. Presented at the HFES 64th Annual Meeting, 2020.

20. Mishra, R. #, Zhang, Y. (2020). The prediction of collisions in connected vehicle systems with a long short-term memory model. Presented at the HFES 64th Annual Meeting, 2020.

21. Zhang, Y. (2020). Modeling driver behavior in connected autonomous vehicles (CAVS) with ml algorithms. Presented at IndustryXchange Artificial Intelligence and Machine Learning, Penn State, 2020.

22. Zhang, Y. (2020). Human-technology interaction in connected and automated vehicles. Penn State University (Invited Seminar for IE 590), 2020.

23. Avalos, J. #, Zhang, Y. (2020). The evaluation of influential factors on nurses’ situation awareness in inpatient settings: A systematic literature review. Presented at 2020 HFES Health Care Symposium.

24. Zhang, Y. (2019). Human-vehicle interaction in the new age of transportation. Tsinghua University (Invited Seminar), Beijing, China. June 2019.

25. Zhang, Y. (2019). The effects of warning lead time on situation awareness in connected vehicle systems. Presented at HFES 63th Annual Meeting, Seattle, WA, October 2019.

26. Zhang, Y. (2018). Human performance modeling and its application in transportation safety. Tongji University (Invited Seminar), Shanghai, China. December 16, 2018.

27. Zhang, Y. (2018). Modeling the effects of warning lead time, warning reliability and warning style on human performance under connected vehicle settings. Presented at the HFES 62th Annual Meeting, Philadelphia, PA, October 2018.

28. Zhang, Y. (2018). Effects of warning characteristics on driver performance in connected vehicle systems with missing warnings. Presented at the HFES 62th Annual Meeting, Philadelphia, PA, October 2018.

29. Zhang, Y. (2018). Modeling driver warning responses in connected vehicle systems. Presented at 14th International Symposium on Advanced Vehicle Control. Beijing, China, July 2018.

30. Zhang, Y. (2017). Human-vehicle interaction in the new age of transportation. Pennsylvania State University (Invited Seminar for IE 590), State College, PA. 2017.

31. Zhang, Y. (2017). Human Performance Modeling and Its Application in Transportation Safety. Zhejiang University (Invited Seminar), Hangzhou. June 16, 2017.

32. Zhang, Y. (2017). Human Performance Modeling and Its Application in Transportation Safety. Tsinghua University (Invited Seminar), Beijing, China. June 8, 2017

33. Zhang, Y. (2017). Human Performance Modeling and Its Application in Transportation Safety. Pennsylvania State University (Invited Seminar), State College, PA. March 2017.

34. Zhang, Y. (2017). Human Performance Modeling and Its Application in Transportation Safety. New Mexico State University (Invited Seminar), Las Cruces, NM. February 2017.

35. Zhang, Y., Wu, C. (2016). Mathematical modeling of the effects of speech warnings characteristics on human performance and its application in transportation cyber-physical systems. Presented at International Chinese Association Human Factors (ICAHF) Annual Meeting, Washington, DC, September 2016.

36. Zhang, Y., Wu, C. (2016). Individual differences in orientation and navigation tasks when using North-Up and Track-Up electronic maps. Presented at the HFES 60th Annual Meeting, Washington DC, September 2016.

37. Zhang, Y., Wu, C. (2016). Mathematical modeling of the effects of speech warnings characteristics on human performance and its application in transportation cyber-physical systems. Presented at Women in STEM Workshop, Buffalo, NY, May 2016.

38. Zhang, Y., Wu, C. (2014). Modeling the effect of loudness and semantics of speech warnings on human performance. Presented at the HFES 58th Annual Meeting, Chicago, IL, October 2014.

39. Zhang, Y., Wu, C., Houston, R. (2014). Psychometric examination and validation of the aggressive driving scale (ADS). Presented at the HFES 58th Annual Meeting, Chicago, IL, October 2014.

40. Zhang, Y., Wu, C. (2014). The application of the human-in-the-loop warning messages notification model in the design of vehicle-to-infrastructure (V2I) communication systems. Presented in 21st World Congress on Intelligent Transport Systems, Detroit, MI, September 2014.

41. Zhang, Y., Wu, C. (2014). Modeling human performances in responses to speech warnings: Loudness & semantics. Presented at the Industrial Engineering Poster Competition, University at Buffalo, May 2014.

42. Zhang, Y., Wu, C. (2013). Development and validation of warning message utility scale (WMUS). Presented at the HFES 57th Annual Meeting, San Diego, CA, October 2013.

43. Zhang, Y., Wu, C. (2013). The effect of lead time of collision warning messages on driver performance. Presented at the Department of Industrial and System Poster Competition, University at Buffalo, April 2013.