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

Dr. Scanlon’s expertise is in advanced driver assistance systems (ADAS), accident reconstruction, driver behavior modeling, crash database analytics, and injury risk modeling. He has worked extensively in reconstructing vehicle trajectories before, during, and after impact using crash reconstruction software, crush-energy analysis, and driver behavior models. Dr. Scanlon has also worked on a number of projects utilizing large national crash databases, event data recorders, and naturalistic driving data (100-Car, SHRP-2). His work has used this data for a range of analyses, including characterizing driver behavior patterns, assessing injury incidence and risk, and performing crash causation analytics.

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 the design needs and potential effectiveness of ADAS technologies in the 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 fleetwide effectiveness estimates of the latest ADAS and passive safety technologies potential to prevent and mitigate crashes. 

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 that focused on examining 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
  • 2017 Virginia Tech 1st place Ph.D. Paul E. Torgersen Graduate Research Excellence Award

    AAAM 2016 John D. States Award for Best Student Paper

    AAAM 2015 Best Overall Scientific Paper

    2014-2015 Virginia Tech Pratt Fellowship Award

    2013 Engineering Science and Mechanics Dan H. Pletta Award

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

Publications

Scanlon JM, Sherony R, Gabler C. 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.

Scanlon JM, Sherony R, Gabler HC. Earliest sensor detection opportunity for left turn across path opposite direction crashes. IEEE Transactions on Intelligent Vehicles 2017; 2(1):62-70.

Scanlon JM, Sherony R, Gabler HC. Models of driver acceleration behavior prior to real-world intersection crashes. IEEE Transactions on Intelligent Transportation Systems 2017; PP(99):1-13.

Scanlon JM, Sherony R, Gabler HC. Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United States. Traffic Injury Prevention 2017; 18(Sup1)S9-S17.

Scanlon JM, Sherony R, Gabler HC. Predicting crash-relevant violations at stop sign-controlled intersections for the development of an intersection driver assistance system. Traffic Injury Prevention 2016; 17(Sup1):59-65.

Scanlon JM, Kusano KD, Gabler HC. 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 2016; 2559:17-23.

Scanlon JM, Sherony R, Gabler HC. 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.

Scanlon JM, K. Page, Sherony R, Gabler HC. 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; available: http://dx.doi.org/10.4271/2016-01-1457.

Noble AM, Kusano KD, Scanlon JM, Doerzaph Z, Gabler HC. Driver approach and traversal trajectories for signalized intersections using naturalistic data. 95th Annual Meeting of the Transportation Research Board, Washington, DC, 2016.

Page KI, Scanlon JM, Kusano KD, Gabler HC. The potential for intersection advanced driver assistance system to reduce straight crossing path crashes. Proceedings of the 2015 AAAM Student Research Symposium, Philadelphia, PA, 2015.

Scanlon JM, Kusano KD, Gabler HC. Analysis of driver evasive maneuvering prior to intersection crashes using event data recorders. Traffic Injury Prevention 2015; 16(Sup2):S182-S189.

Scanlon JM, Kusano KD, Gabler HC. A preliminary model of driver acceleration behavior prior to real-world straight crossing path intersection crashes using EDRs. Proceedings of the 2015 IEEE Intelligent Transportation Systems, Canary Islands, Spain, 2015.

Scanlon JM, Kusano KD, Gabler HC. 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.

Scanlon JM, Kusano KD, Sherony R, Gabler HC. Potential of intersection driver assistance systems to mitigate straight crossing path crashes using U.S. nationally representative crash data. IEEE Intelligent Vehicles (IV) Symposium, Seoul, Korea, 2015.

Scanlon JM, Kusano KD, Sherony R, Gabler HC. Potential safety benefits of lane departure warning and prevention systems in the U.S. vehicle fleet. Proceedings of the 24th International Enhanced Safety of Vehicles Conference, Gothenburg, Sweden, Paper Number 15-0080, 2015.

Abdelkefi A, Scanlon JM, McDowell E, Hajj MR. Performance enhancement of piezoelectric energy harvesters from wake galloping. Applied Physics Letters 2013; 103(3):033903.

Published Abstracts


Scanlon JM, Gabler HC. Potential injury prevention benefits of an intersection driver assistance system. BMES Annual Meeting, Minneapolis, MN, October 5-8, 2016.

Scanlon JM, Gabler HC. The Injury implications of evasive braking prior to a frontal impact. BMES Annual Meeting, Tampa, FL, October 7-10, 2015.

Scanlon JM, Zadnik AM, Nussbaum MA, Madigan ML. Obesity does not increase likelihood of slipping while descending ramps. Annual Meeting of the American Society of Biomechanics, Columbus, OH, August 5-8, 2015.

Scanlon JM, Gabler HC. Incidence and risk of concussive injury in vehicle crashes. BMES Annual Meeting. San Antonio, TX, October 22-25, 2014.

Scanlon JM, Nussbaum MA, Madigan ML. Gait differences between inside a laboratory and outdoors. Annual meeting of the American Society of Biomechanics. Boston, MA, July 6-11, 2014.

Garman CR, Scanlon JM, Nussbaum MA, Madigan ML. Effects of age and obesity on the likelihood of tripping during anterior load carriage. Annual meeting of the American Society of Biomechanics, Boston, MA, July 6-11, 2014.

Scanlon JM, Nussbaum MA, Madigan ML. Comparing gait between inside and outside a laboratory setting. Midwest ASB Regional Meeting, Akron, OH, March 4-5, 2014.

Zadnik AM, Arena SL, Scanlon JM, Nussbaum MA, Madigan ML. Preliminary findings on increased slip propensity among young obese males during occupationally relevant conditions. Midwest ASB Regional Meeting, Akron, OH, March 4-5, 2014.

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)

  • Co-organizer for 2018 SAE WCX Active Safety Session

Institute of Electrical and Electronics Engineers (IEEE)

Association for the Advancement of Automotive Medicine (AAAM)

Biomedical Engineering Society (BMES)

Additional Information

Peer Reviewer

SAE World Congress Conference (2015-Present)

IEEE Intelligent Vehicles Symposium (2016-Present)

Traffic Injury Prevention (2015- Present)

Association for the Advancement of Automotive Medicine Annual Conference (2015-Present)

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
  • 2017 Virginia Tech 1st place Ph.D. Paul E. Torgersen Graduate Research Excellence Award

    AAAM 2016 John D. States Award for Best Student Paper

    AAAM 2015 Best Overall Scientific Paper

    2014-2015 Virginia Tech Pratt Fellowship Award

    2013 Engineering Science and Mechanics Dan H. Pletta Award

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