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Journal Articles

  • Chengxin Zhang, Huizhong Guo, Zifei Wang, Fred Feng, Anuj Pradhan, and Shan Bao, “Assessing the effectiveness of driver training interventions in improving safe engagement with vehicle automation systems”. Journal of Safety Research, 2025, 10.1016/j.jsr.2025.10.003
  • Dania Ammar, Aditi Misra, Fred Feng, and Shan Bao, “Identifying Factors Related to Crash Injury Levels Involving Bicyclists at Different Locations Through Crash Data Analysis”, Transportation Research Record, 2023, 10.1177/03611981221148486
  • Lilit Avetisyan, Chengxin Zhang, Sue Bai, Ehsan Moradi Pari, Fred Feng, Shan Bao, and Feng Zhou, “Design a sustainable micro-mobility future: trends and challenges in the US and EU”, Journal of Engineering Design, 2022, 10.1080/09544828.2022.2142904
  • Wenbo Sun, Matthew Aguirre, Jionghua Judy Jin, Fred Feng, Samer Rajab, Shigenobu Saigusa, Jovin Dsa, and Shan Bao, “Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm”, Transportation Research Part C: Emerging Technologies, 2021, 10.1016/j.trc.2021.103317
  • Bo Yu, Shan Bao, Fred Feng, and James Sayer, “Examination and prediction of drivers’ reaction when provided with V2I communication-based intersection maneuver strategies”, Transportation Research Part C: Emerging Technologies, 2019, 10.1016/j.trc.2019.07.007
  • Fred Feng, Shan Bao, Judy Jin, Wenbo Sun, Shigenobu Saigusa, Amin Tahmasbi-Sarvestani, and Jovin Dsa, “Estimation of lead vehicle kinematics using camera-based data for driver distraction detection”, International Journal of Automotive Engineering, 2018, 10.20485/jsaeijae.9.3_158
  • Fred Feng, Shan Bao, Robert C Hampshire, and Michael Delp, “Drivers overtaking bicyclists-An examination using naturalistic driving data”, Accident Analysis & Prevention, 2018, 10.1016/j.aap.2018.03.010
  • Fred Feng, Yili Liu, and Yifan Chen, “Effects of quantity and size of buttons of in-vehicle touch screen on drivers’ eye glance behavior”, International Journal of Human–Computer Interaction, 2018, 10.1080/10447318.2017.1415688
  • Fred Feng, Shan Bao, James R Sayer, Carol Flannagan, Michael Manser, and Robert Wunderlich, “Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data”, Accident Analysis & Prevention, 2017, 10.1016/j.aap.2017.04.012
  • Fred Feng, Yili Liu, and Yifan Chen, “A computer-aided usability testing tool for in-vehicle infotainment systems”, Computers & Industrial Engineering, 2017, 10.1016/j.cie.2017.05.019

Conference Proceedings Articles

  • Gandhimathi Padmanaban, Fred Feng, Edward Dai, Ankit Saini, Guopeng Hu, and Yanan Zhao, “A comparative analysis of acceleration and deceleration profiles for aggressive driving styles and fuel economy test cycles”, SAE Technical Paper, 2025, 10.4271/2025-01-8605
  • Aditya Deshmukh, Zifei Wang, Huizhong Guo, Dania Ammar, Rini Sherony, Fred Feng, Brian Lin, Shan Bao, and Feng Zhou, “A systematic review of challenging scenarios involving automated vehicles and vulnerable road users”, Human Factors and Ergonomics Society Annual Meeting, 2023, 10.1177/21695067231192300
  • H. Vasanth Munnamgi and Fred Feng, “An automatic method to extract events of drivers overtaking cyclists from trajectory data captured by drones, International Cycling Safety Conference, 2022, 10.25368/2022.503
  • Heejin Jeong, Fred Feng, and Yili Liu, “Computational modeling of driver lateral control on curved roads with integration of vehicle dynamics and reference trajectory tracking”, 9th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 2017, 10.17077/drivingassessment.1635
  • Fred Feng, Shan Bao, James Sayer, and David LeBlanc. “Spectral power analysis of drivers’ gas pedal control during steady-state car-following on freeways”, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2016, 10.1177/1541931213601167
  • Yifan Chen, Basavaraj Tonshal, James Rankin, and Fred Feng, “Development of an integrated simulation system for design of speech-centric multimodal human-machine interfaces in an automotive cockpit environment”, ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2016, 10.1115/DETC2016-59309
  • Fred Feng, Yili Liu, Yifan Chen, Dimitar Filev, and Curtis To, “Computer-aided usability evaluation of in-vehicle infotainment systems”, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2014, 10.1177/1541931214581476

Dissertations and Theses

  • Rayane Moustafa, “Using Digital Lidar to Study Cycling Safety and Distance Estimation of Passing Vehicles”, [Master’s theses], 2023-08-22, 10.7302/8118
  • Gandhimathi Padmanaban, “Computational Human Performance Modeling using Queuing Network in an Open-Source Platform”, [Master’s theses], 2021-08-25, 10.7302/2328
  • Ayah Hamad, “Two Wheelistic: Development of a High-Fidelity Virtual Reality Cycling Simulator for Transportation Safety Research”, [Master’s theses], 2021-05-01, 10.7302/1035

Presentations

  • Rayane Moustafa, Gandhimathi Padmanaban, and Fred Feng, “Quantifying drivers overtaking bicyclists with surrogate safety measures derived from high-resolution digital lidar”, Transportation Research Board 105th Annual Meeting, TRBAM-26-04623, 2026-01-14, [Slides]
  • Gandhimathi Padmanaban, Rayane Moustafa, and Fred Feng, “A geometry-informed computer vision method for detecting and examining overtaking vehicles from a bicycle”, Transportation Research Board 105th Annual Meeting, TRBAM-26-04593, 2026-01-13, [Poster]
  • Fred Feng, “Who Killed Whom-Counterparties in Road Traffic Crashes and the Implications on Transportation Justice”, Ann Arbor Neighborhood Week, 2025, [Recording][Slides]
  • Fred Feng, “Who Injured Whom-Counterparties in Road Traffic Crashes, Vehicle Bloat, and Crash Regardfulness”, University of Michigan Next Generation Transportation Systems Seminar Series, 2025, [Oral]
  • Christopher Salisbury and Fred Feng, “You can’t improve what you don’t measure - An end-to-end pilot project of collecting, analyzing, and sharing bicycle traffic data with automated bike counters”, University of Michigan Data Science and AI Summit, 2022, [Poster]
  • Fred Feng and Ayah Hamad, “Development of a high fidelity virtual reality cycling simulator for road safety education and research, Transportation Research Board 100th Annual Meeting, TRBAM-21-04340, 2021, [Poster]
  • Fred Feng, “Cycling safety: From crash data analysis to a naturalistic cycling study”, Center for Connected and Automated Transportation Research Review, 2021, [Recording]
  • Fred Feng, “A Naturalistic Cycling Study in Ann Arbor, Michigan”, Transportation Consortium of South-Central States (Tran-SET) Webinar Series, 2021, [Recording]
  • Fred Feng, “Sorry Mate I Didn’t See You-Driver distraction and in-vehicle infotainment touch screen user interface design”, General Motors Human Factors/User Experience Seminar, 2020, [Oral]
  • Fred Feng, Shan Bao, Colleen Hillard, Mark Gilbert, and Jacopo Serafin, “A naturalistic cycling study in Ann Arbor, Transportation Research Board 99th Annual Meeting, TRBAM-20-03009, 2020, [Poster]
  • Fred Feng, “Bicycling safety in the future of mobility”, University of Michigan Next Generation Transportation Systems Seminar Series, 2019, [Oral]
  • Shan Bao, Fred Feng, Anuj Pradhan, Yu Zhang, Bochen Jia, and John Sullivan, “Examination of the effectiveness of multiple training methods on supporting drivers’ better understanding towards level 2 automated vehicle systems”, Transportation Research Board 98th Annual Meeting, TRBAM-19-01321, 2019, [Poster]
  • Bo Yu, Shan Bao, Fred Feng, and James Sayer, “Drivers’ reaction analysis and prediction with V2I-communication-based energy-related strategies”, Transportation Research Board 98th Annual Meeting, TRBAM-19-04240, 2019, [Poster]
  • Fred Feng, Shan Bao, and Michael Delp, “Vehicle lane encroachment when drivers overtaking bicyclists-an examination using naturalistic driving data”, Transportation Research Board 97th Annual Meeting, TRBAM-18-06555, 2018, [Poster]
  • Fred Feng, “Here’s the data, now what? Using large-scale naturalistic driving data to study driver behaviors and develop advance safety technologies”, University of Michigan Next Generation Transportation Systems Seminar Series, 2017, [Oral]
  • Fred Feng and Yili Liu, “Computational modeling of feature and conjunction visual search tasks using Queuing Network-Model Human Processor (QN-MHP), 2nd International Digital Human Modeling Symposium, 2013, [Oral]

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