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John M Scanlon

Showing results (1-10 of 14) with videos related to

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Traffic Injury Prevention|March 22, 2017
Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United StatesJohn M Scanlon, Rini Sherony, Hampton C Gabler
Traffic Injury Prevention|September 3, 2016
Predicting crash-relevant violations at stop sign-controlled intersections for the development of an intersection driver assistance systemJohn M Scanlon, Rini Sherony, Hampton C Gabler
Traffic Injury Prevention|October 6, 2015
Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data RecordersJohn M Scanlon, Kristofer D Kusano, Hampton C Gabler
Traffic Injury Prevention|November 1, 2024
Bridging the gap: Mechanistic-based cyclist injury risk curves using two decades of crash dataAngela Schubert, Eamon T Campolettano, John M Scanlon, et al.
Traffic Injury Prevention|October 29, 2025
A mechanistic approach to modeling omnidirectional motorcyclist injury riskAngela Schubert, Eamon T Campolettano, John M Scanlon, et al.
Accident; Analysis and Prevention|October 4, 2023
Determination of functional scenarios for intersection collisionsL Garrett Bangert, Theodore Lubash, John M Scanlon, et al.
Traffic Injury Prevention|August 17, 2021
An omni-directional model of injury risk in planar crashes with application for autonomous vehiclesTimothy L McMurry, Joseph M Cormier, Tom Daniel, et al.
Accident; Analysis and Prevention|October 26, 2021
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domainJohn M Scanlon, Kristofer D Kusano, Tom Daniel, et al.
Traffic Injury Prevention|May 16, 2025
Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million milesKristofer D Kusano, John M Scanlon, Yin-Hsiu Chen, et al.
Accident; Analysis and Prevention|June 15, 2023
Passenger and heavy vehicle collisions with pedestrians: Assessment of injury mechanisms and riskAngela Schubert, Stefan Babisch, John M Scanlon, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Traffic Injury Prevention|March 22, 2017
Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United StatesJohn M Scanlon, Rini Sherony, Hampton C Gabler
Traffic Injury Prevention|September 3, 2016
Predicting crash-relevant violations at stop sign-controlled intersections for the development of an intersection driver assistance systemJohn M Scanlon, Rini Sherony, Hampton C Gabler
Traffic Injury Prevention|October 6, 2015
Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data RecordersJohn M Scanlon, Kristofer D Kusano, Hampton C Gabler
Traffic Injury Prevention|November 1, 2024
Bridging the gap: Mechanistic-based cyclist injury risk curves using two decades of crash dataAngela Schubert, Eamon T Campolettano, John M Scanlon, et al.
Traffic Injury Prevention|October 29, 2025
A mechanistic approach to modeling omnidirectional motorcyclist injury riskAngela Schubert, Eamon T Campolettano, John M Scanlon, et al.
Accident; Analysis and Prevention|October 4, 2023
Determination of functional scenarios for intersection collisionsL Garrett Bangert, Theodore Lubash, John M Scanlon, et al.
Traffic Injury Prevention|August 17, 2021
An omni-directional model of injury risk in planar crashes with application for autonomous vehiclesTimothy L McMurry, Joseph M Cormier, Tom Daniel, et al.
Accident; Analysis and Prevention|October 26, 2021
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domainJohn M Scanlon, Kristofer D Kusano, Tom Daniel, et al.
Traffic Injury Prevention|May 16, 2025
Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million milesKristofer D Kusano, John M Scanlon, Yin-Hsiu Chen, et al.
Accident; Analysis and Prevention|June 15, 2023
Passenger and heavy vehicle collisions with pedestrians: Assessment of injury mechanisms and riskAngela Schubert, Stefan Babisch, John M Scanlon, et al.
Pageof 2