John Scanlon
John M. Scanlon, Ph.D.
Senior Associate
Vehicle Engineering
Philadelphia

Dr. Scanlon’s expertise lies in automated vehicle (AV) technologies, advanced driver assistance systems (ADAS), accident reconstruction, driver behavior modeling, crash database analytics, occupant protection systems (passive safety technologies), injury risk modeling, and event data recorder (EDR) and engine control module (ECM) data analysis. He has worked extensively in reconstructing vehicle trajectories before, during, and after impact using simulation, driver behavior modeling, statistical approaches, and engineering first principles. Additionally, his work has focused on retrospective analysis of crashes, or “what-if” scenarios, that examine how driver, vehicle, and environmental factors can cause, mitigate, or prevent crashes and associated injuries. In his analyses, Dr. Scanlon has leveraged his work on a number of research projects utilizing large national accident databases, crash test databases, electronic vehicle data, and naturalistic driving data.

Prior to joining Exponent, Dr. Scanlon completed his Ph.D. work at Virginia Tech, while working as a research engineer within the Virginia Tech / Wake Forest Center for Injury Biomechanics. As a part of his work, Dr. Scanlon helped lead a collaborative effort with a car manufacturer that focused on examining design needs and potential effectiveness of AV technologies in the US vehicle fleet. His work focused on: (a) examining the causes of real-world crashes, (b) characterizing and modeling driver behavior prior to those crashes, and (c) generating fleet-wide effectiveness estimates of the latest AV and passive safety technologies’ potential to prevent and mitigate crashes and associated injuries.

Dr. Scanlon also completed his M.S. and B.S. degrees at Virginia Tech. His Master’s thesis work focused on examining human gait differences between inside and outside of a laboratory setting. He also conducted biomechanics research on slip and trip propensity and recovery in at-risk populations. His undergraduate senior design work involved the development of a piezoelectric energy-harvesting device to operate in remote locations under low flow rates. 

CREDENTIALS & PROFESSIONAL HONORS

  • Ph.D., Biomedical Engineering, Virginia Polytechnic Institute and State University, 2017
  • M.S., Biomedical Engineering, Virginia Polytechnic Institute and State University, 2014
  • B.S., Engineering Science and Mechanics, Virginia Polytechnic Institute and State University, 2013, summa cum laude
  • 2017 Virginia Tech 1st place Ph.D. Paul E. Torgersen Graduate Research Excellence Award

    2016 AAAM John D. States Award

    2015 AAAM Best Overall Scientific Paper

    2014-2015 Virginia Tech Pratt Fellowship Award

    2013 Virginia Tech Engineering Science and Mechanics Dan H. Pletta Award

    2013 Virginia Tech Accelerated Undergraduate/Graduate Degree Program (UG/G) for highly qualified undergraduate engineering students

Publications

J. M. Scanlon, J. L. Isaacs, and C. Garman, "Head and Neck Loading Conditions over a Decade of IIHS Rear Impact Seat Testing," SAE Technical Paper (2019-01-1227), 2019.

A. Filatov, J. M. Scanlon, A. Bruno, S. S. K. Danthurthi, J. L. Fisher, “Effects of Innovation in Automated Vehicles on Occupant Compartment Designs, Evaluation, and Safety: A Review of Public Marketing, Literature, and Standards," SAE Technical Paper (2019-01-1223), 2019.

R .J. Harrington, C. Senatore, J. M. Scanlon, and R. M. Yee. "The Role of Infrastructure in an Automated Vehicle Future." In The Bridge, edited by National Academy of Engineers, 48-55. Washington, DC, 2018.

J. M. Scanlon, R. Sherony, and C. Gabler, "Preliminary Effectiveness Estimates for Intersection Driver Assistance Systems in LTAP/OD Crashes," in FAST-zero'17: 4th International Symposium on Future Active Safety Technology Toward zero traffic accidents, Nara, Japan, 2017.

J. M. Scanlon, R. Sherony, and H. C. Gabler, "Earliest Sensor Detection Opportunity for Left Turn Across Path Opposite Direction Crashes," IEEE Transactions on Intelligent Vehicles, vol. 2, no. 1, pp. 62-70, 2017.

J. M. Scanlon, R. Sherony, and H. C. Gabler, "Models of Driver Acceleration Behavior Prior to Real-World Intersection Crashes," IEEE Transactions on Intelligent Transportation Systems, vol. PP, no. 99, pp. 1-13, 2017.

J. M. Scanlon, R. Sherony, and H. C. Gabler, "Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United States," Traffic Injury Prevention, vol. 18, no. sup1, pp. S9-S17, 2017.

J. M. Scanlon, R. Sherony, and H. C. Gabler, "Predicting Crash-Relevant Violations at Stop Sign-Controlled Intersections for the Development of an Intersection Driver Assistance System," Traffic Injury Prevention, vol. 17, no. sup1, pp. 59-65, 2016.

J. M. Scanlon, K. D. Kusano, and H. C. Gabler, "Lane Departure Warning and Prevention Systems in the US Vehicle Fleet: Influence of Roadway Characteristics on Potential Safety Benefits," Transportation Research Record: Journal of the Transportation Research Board, vol. 2559, pp. 17-23, 2016.

J. M. Scanlon, R. Sherony, and H. C. Gabler, "Preliminary potential crash prevention estimates for an Intersection Advanced Driver Assistance System in straight crossing path crashes," in IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, 2016, pp. 1135-1140: IEEE.

J. M. Scanlon, K. Page, R. Sherony, and H. C. Gabler, "Using Event Data Recorders from Real-World Crashes to Investigate the Earliest Detection Opportunity for an Intersection Advanced Driver Assistance System," SAE Technical Paper (2016-01-1457), 2016.

A. M. Noble, K. D. Kusano, J. M. Scanlon, Z. Doerzaph, and H. C. Gabler, "Driver Approach and Traversal Trajectories for Signalized Intersections Using Naturalistic Data," in 95th Annual Meeting of the Transportation Research Board, Washington, DC, 2016.

K. I. Page, J. M. Scanlon, K. D. Kusano, and H. C. Gabler, "The Potential for Intersection Advanced Driver Assistance System to Reduce Straight Crossing Path Crashes," in Proceedings of the 2015 AAAM Student Research Symposium, Philadelphia, Pennsylvania, 2015.

J. M. Scanlon, K. D. Kusano, and H. C. Gabler, "Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data Recorders," Traffic Injury Prevention, vol. 16, no. sup2, pp. S182-S189, 2015.

J. M. Scanlon, K. D. Kusano, and H. C. Gabler, "A Preliminary Model of Driver Acceleration Behavior Prior to Real-World Straight Crossing Path Intersection Crashes Using EDRs," in Proceedings of the 2015 IEEE Intelligent Transportation Systems, Canary Islands, Spain, 2015: IEEE.

J. M. Scanlon, K. D. Kusano, and H. C. Gabler, "The influence of roadway characteristics on potential safety benefits of lane departure warning and prevention systems in the U.S. vehicle fleet," in FAST-zero'15: 3rd International Symposium on Future Active Safety Technology Toward zero traffic accidents, 2015, pp. 583-587: Chalmers University of Technology. SAFER Vehicle and Traffic Safety Centre.

J. M. Scanlon, K. D. Kusano, R. Sherony, and H. C. Gabler, "Potential of Intersection Driver Assistance Systems to Mitigate Straight Crossing Path Crashes Using U.S. Nationally Representative Crash Data," in IEEE Intelligent Vehicles (IV) Symposium, Seoul, Korea, 2015.

J. M. Scanlon, K. D. Kusano, R. Sherony, and H. C. Gabler, "Potential Safety Benefits of Lane Departure Warning and Prevention Systems in the U.S. Vehicle Fleet," in Proceedings of the 24th International Enhanced Safety of Vehicles Conference, Gothenburg, Sweden, Paper Number 15-0080, 2015.

A. Abdelkefi, J. M. Scanlon, E. McDowell, and M. R. Hajj, "Performance enhancement of piezoelectric energy harvesters from wake galloping," Applied Physics Letters, vol. 103, no. 3, p. 033903, 2013.

Published Abstracts

J. M. Scanlon, H. C. Gabler. Potential Injury Prevention Benefits of an Intersection Driver Assistance System. BMES Annual Meeting. October 5-8, 2016 in Minneapolis, Minnesota.

J. M. Scanlon, H. C. Gabler. The Injury Implications of Evasive Braking prior to a Frontal Impact. BMES Annual Meeting. October 7-10, 2015 in Tampa, Florida.

J. M. Scanlon, A. M. Zadnik, M. A. Nussbaum, M. L. Madigan. Obesity Does Not Increase Likelihood of Slipping while Descending Ramps. Annual meeting of the American Society of Biomechanics. August 5-8, 2015 in Columbus, Ohio.

J. M. Scanlon, H. C. Gabler. Incidence and Risk of Concussive Injury in Vehicle Crashes. BMES Annual Meeting. October 22-25, 2014 in San Antonio, Texas.

J. M. Scanlon, M. A. Nussbaum, M. L. Madigan. Gait Differences between Inside a Laboratory and Outdoors. Annual meeting of the American Society of Biomechanics. July 6-11, 2014 in Boston, Massachusetts.

C. R. Garman, J. M. Scanlon, M. A. Nussbaum, M. L. Madigan. Effects of age and obesity on the likelihood of tripping during anterior load carriage. Annual meeting of the American Society of Biomechanics. July 6-11, 2014 in Boston, Massachusetts.

J. M. Scanlon, M. A. Nussbaum, M. L. Madigan. Comparing Gait between Inside and Outside a Laboratory Setting. Midwest ASB Regional Meeting. March 4-5, 2014 in Akron, Ohio.

A. M. Zadnik, S. L. Arena, J. M. Scanlon, M. A. Nussbaum, M. L. Madigan. Preliminary Findings on Increased Slip Propensity among Young Obese Males during Occupationally Relevant Conditions. Midwest ASB Regional Meeting. March 4-5, 2014 in Akron, Ohio.

Prior Experience

Research Engineer in Automotive Safety, Virginia Tech / Wake Forest Center for Injury Biomechanics, 2014-2017

Research Engineer in Gait Biomechanics, Kevin P. Granata Biomechanics Laboratory, 2011-2014

Professional Affiliations

Society of Automotive Engineers (SAE)

  • Organizer and Chair for SAE WCX Active and Automated Driving System Safety Session, 2017-present
  • Member of the SAE Event Data Recorder (EDR) Committee

Association for the Advancement of Automotive Medicine (AAAM)

  • Member of the the Automated Vehicles Special Interest Group

Additional Information

Additional Education Training

Bosch CDR Data Analyst Course, Northwestern University, April 2019

Bosch CDR Tool Technician Course, Institute of Police Technology and Management, March 2019

Traffic Crash Reconstruction, Northwestern University, July 2018

2018 HVE Forum, Engineering Dynamics Corporation, February 2018

EDC Simulations, Engineering Dynamics Corporation, November 2017

Peer Reviewer

Reviewer for SAE World Congress Experience (WCX)

Reviewer for SAE International Journal of Transportation Safety

Reviewer for IEEE Intelligent Vehicles (IV) Symposium

Reviewer for Traffic Injury Prevention

Reviewer for Association for the Advancement of Automotive Medicine (AAAM) Annual Conference

Reviewer for Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

CREDENTIALS & PROFESSIONAL HONORS

  • Ph.D., Biomedical Engineering, Virginia Polytechnic Institute and State University, 2017
  • M.S., Biomedical Engineering, Virginia Polytechnic Institute and State University, 2014
  • B.S., Engineering Science and Mechanics, Virginia Polytechnic Institute and State University, 2013, summa cum laude
  • 2017 Virginia Tech 1st place Ph.D. Paul E. Torgersen Graduate Research Excellence Award

    2016 AAAM John D. States Award

    2015 AAAM Best Overall Scientific Paper

    2014-2015 Virginia Tech Pratt Fellowship Award

    2013 Virginia Tech Engineering Science and Mechanics Dan H. Pletta Award

    2013 Virginia Tech Accelerated Undergraduate/Graduate Degree Program (UG/G) for highly qualified undergraduate engineering students