Justin P. Schorr, Ph.D.
Abington, PA 19001
Dr. Justin P. Schorr earned his undergraduate degree in Civil Engineering from Northwestern University in 2008 and his Master’s (2010) and Doctorate (2015) degrees from The George Washington University (GW) in Washington, DC. Dr. Schorr also completed specialized training in Collision Reconstruction from The Northwestern University Center for Public Safety and Event Data Recorders (EDR). He is a certified drone pilot licensed by the Federal Aviation Administration (FAA). Dr. Schorr’s most valuable training, however, comes from a lifetime of education provided by his father and grandfather – both of whom are Collision Reconstruction Professionals.
Dr. Schorr has been an active member of the academic research community publishing four peer-reviewed journal articles and eight refereed conference papers in the field of transportation safety and driver behavior. While still at GW, Dr. Schorr provided one-on-one presentations at the request of Mr. Ed Gillespie (former Gubernatorial Candidate in Virginia), Major John Bell (Delegate 87th District, Virginia), David Birtwistle (CEO Northern Virginia Transportation Alliance), and Congresswoman Barbara Comstock (10th District, Virginia) and was intimately involved in giving back to the community as he delivered Keynote Addresses in 2013, 2014, and 2015 at GW’s Science and Technology Engineering Day and in 2013 for Schools Without Walls. Dr. Schorr continues to serve as an adjunct professor and the lead researcher at the Vehicle Instrumentation and Driver Simulation Laboratory at GW.
Dr. Schorr’s specialties are focused mainly in three areas: transportation engineering, applied mathematics, and intelligent systems engineering. Specific to collision reconstruction and intelligent vehicles, Dr. Schorr is well trained in traffic engineering and highway safety, highway design, intelligent transportation systems, vehicle dynamics, real world crash investigation, crash investigation and analysis, vehicle standards and crash test analysis, and intelligent control systems – and has offered courses at GW such as Sustainable Urban Dynamics, Intelligent Transportation Systems, Highway Design, and Transportation Engineering.
- 3D Laser Scanning
- Accident Investigation
- Accident Reconstruction
- Automotive
- Automotive Engineering
- Bicycle
- Black Box/Data Recorder
- Civil Engineering
- Driver Behavior
- Forensic Engineering
- Infotainment & Telematics Systems
- Lighting & Illumination
- Motorcycles
- Traffic/Highway Safety
- Transportation Engineering
- Q: Please list any teaching or speaking experience you have had, including subject matter:
- A: FEATURED PRESENTATIONS:
“Ambivalent Automation: Tesla, Uber and the Driverless Debacle”, Fleet Response, Cleveland, OH, August 2018
“Ambivalent Automation: Tesla. Uber and the Driverless Debacle” C2SMART Distinguished Speaker Series, New York University, New York, NY, April 2018
“An Overview of Forensic Engineering in 2018: New Technology and Ethical Considerations”, NJ Department of Transportation, Ewing Township, NJ, March 2018
“Reconstructing Vehicle Collision (and other events) Using New World Technology”, NJ Prominent Law Firm, Lawrenceville, NJ, March 2018
“Driverless Dilemma: Introduction, Technology & Talking Points”, Fleet Response, Cleveland, OH, March 2018
“An Overview of Forensic Engineering in 2018: New Technology and Ethical Considerations”, American Society of Highway Engineers, Cherry Hill, NJ, January 2018
“Autonomous Vehicle Technology”, New York State Bar Association, Nashville, TN, November 2017
“Autonomous Vehicle Technology”, National Association Subrogation Professionals, Austin, TX, 2017
“Applications of Transportation Engineering in the World of Tort Litigation”, Texas A&M Engineering Program, Houston, TX, November 2017
“Autonomous Vehicle Technology Symposium”, NAIOP, Fairfax, VA, Moderator of Panel, October 2017
“Epidemic of Distracted Driving”, Philadelphia Association of Paralegals 2017 Educational Conference, Philadelphia, PA, September 2017
“The Road to Autonomous Vehicles: The Hundred Year Journey”, NJICLE Webinar, Abington, PA, July 2017
“Event Data to Autonomous Vehicle Technology- Where we are… Where we’re Going”, National Association of Subrogation Professionals Webinar, Abington, PA, April 2017
TEACHING:
Graduate Level Courses Offered: Intelligent Transportation Systems; Advanced Demand Modeling; The George Washington University, Washington, DC
Please list your professional accreditations, degrees, licenses, and certificates granted:
- Q: For what area(s) of expertise have you been retained as an expert?
- A: • Automated Vehicles
• Autonomous Vehicles
• Self-Driving Cars
• Driverless Cars
• Driver Assistance
• ADAS (Advanced Driver Assistance)
• Intelligent Systems
• Artificial Intelligence in Automobiles
• Machine Learning Applications in Transportation
• Vehicle/Driver Monitoring Devices and Analysis
• GPS Tracking and Analysis
• GIS Data Applications in Transportation
• Transportation Engineering
• Traffic Engineering
• Rules of the Road
• Driver Distraction
• Roadway Design
• Roadway Construction and Maintenance
• Pedestrian/Bicyclist Collision Analysis
• Hazard Identification
• Perception-Reaction Time
• Stopping Distance
• Avoidance Maneuvers
• Expectations of Vehicle Operator
• Required Operator Response
• Avoidance Ability
• Time-Distance-Speed Analysis
• Crush Analysis
• Momentum Analysis
• Low-Speed Impacts
• Sideswipe Collisions
- Q: What services do you offer? (E.g.: consulting, testing, reports, site inspections etc.)
- A: • 3D Laser Scanning
• Drone/Aerial Documentation
• Event Data Extraction & Analysis
• 3D Animations/2D Exhibits
• Site & Vehicle Inspections
• Forensic Evidence Storage
• 24/7 Rapid Response
- Interrupted versus uninterrupted flow: A safety propensity index for driver behavior
- Measuring the safety impact of road infrastructure systems on driver behavior: Vehicle instrumentation and real world driving experiment
- Safety propensity index for signalized and unsignalized intersections:Exploration and assessment
- Built Environment Factors Contributing to Pedestrian Collisions: A Structural Equation Modeling Approach
- Structural Equation Modelling: An Application to Pedestrian Safety in Washington DC and Exploration of the Impact of Variable Scaling Procedures
- From Structural Equation Modeling to Macroscopic Fundamental Diagrams: Investigating the Impact of Road Segments Safety on Network Level Efficiency
- Work zones versus nonwork zones: Risk factors leading to rear-end and sideswipe collisions
Available Upon Request