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John M. Scanlon
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Year
Performance enhancement of piezoelectric energy harvesters from wake galloping
A Abdelkefi, JM Scanlon, E McDowell, MR Hajj
Applied Physics Letters 103 (3), 2013
1552013
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain
JM Scanlon, KD Kusano, T Daniel, C Alderson, A Ogle, T Victor
Accident Analysis & Prevention 163, 106454, 2021
1092021
Analysis of driver evasive maneuvering prior to intersection crashes using event data recorders
JM Scanlon, KD Kusano, HC Gabler
Traffic injury prevention 16 (sup2), S182-S189, 2015
782015
Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United States
JM Scanlon, R Sherony, HC Gabler
Traffic injury prevention 18 (sup1), S9-S17, 2017
722017
Potential safety benefits of lane departure warning and prevention systems in the US vehicle fleet
JM Scanlon, KD Kusano, R Sherony, HC Gabler
24th International Technical Conference on the Enhanced Safety of Vehicles …, 2015
512015
Crash and injury prevention estimates for intersection driver assistance systems in left turn across path/opposite direction crashes in the United States
M Bareiss, J Scanlon, R Sherony, HC Gabler
Traffic injury prevention 20 (sup1), S133-S138, 2019
442019
Models of driver acceleration behavior prior to real-world intersection crashes
JM Scanlon, R Sherony, HC Gabler
IEEE transactions on intelligent transportation systems 19 (3), 774-786, 2017
432017
Preliminary potential crash prevention estimates for an Intersection Advanced Driver Assistance System in straight crossing path crashes
JM Scanlon, R Sherony, HC Gabler
2016 IEEE intelligent vehicles symposium (IV), 1135-1140, 2016
382016
Using event data recorders from real-world crashes to investigate the earliest detection opportunity for an intersection advanced driver assistance system
JM Scanlon, K Page, R Sherony, HC Gabler
SAE Technical Paper, 2016
33*2016
Lane departure warning and prevention systems in the US vehicle fleet: Influence of roadway characteristics on potential safety benefits
JM Scanlon, KD Kusano, HC Gabler
Transportation Research Record 2559 (1), 17-23, 2016
26*2016
Earliest sensor detection opportunity for left turn across path opposite direction crashes
JM Scanlon, R Sherony, HC Gabler
IEEE Transactions on Intelligent Vehicles 2 (1), 62-70, 2017
232017
Predicting crash-relevant violations at stop sign–controlled intersections for the development of an intersection driver assistance system
JM Scanlon, R Sherony, HC Gabler
Traffic injury prevention 17 (sup1), 59-65, 2016
182016
Effects of Innovation in Automated Vehicles on Occupant Compartment Designs, Evaluation, and Safety: A Review of Public Marketing, Literature, and Standards
A Filatov, JM Scanlon, A Bruno, SSK Danthurthi, J Fisher
SAE Technical Paper, 2019
172019
Potential of intersection driver assistance systems to mitigate straight crossing path crashes using US nationally representative crash data
JM Scanlon, KD Kusano, R Sherony, HC Gabler
2015 IEEE intelligent vehicles symposium (IV), 1207-1212, 2015
162015
The Role of Infrastructure in an Automated Vehicle Future
RJ Harrington, C Senatore, JM Scanlon, RM Yee
142018
A preliminary model of driver acceleration behavior prior to real-world straight crossing path intersection crashes using EDRs
JM Scanlon, KD Kusano, HC Gabler
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
142015
An omni-directional model of injury risk in planar crashes with application for autonomous vehicles
TL McMurry, JM Cormier, T Daniel, JM Scanlon, JR Crandall
Traffic injury prevention 22 (sup1), S122-S127, 2021
132021
Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk
F Favaro, L Fraade-Blanar, S Schnelle, T Victor, M Peña, J Engstrom, ...
arXiv preprint arXiv:2306.01917, 2023
122023
Collision avoidance effectiveness of an automated driving system using a human driver behavior reference model in reconstructed fatal collisions
JM Scanlon, KD Kusano, J Engström, T Victor
Waymo, LLC, 2022
112022
Evaluating the Potential of an Intersection Driver Assistance System to Prevent US Intersection Crashes
JM Scanlon
Virginia Tech, 2017
102017
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