Search Results - "Scanlon, John M."

Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain by Scanlon, John M., Kusano, Kristofer D., Daniel, Tom, Alderson, Christopher, Ogle, Alexander, Victor, Trent

“…•A novel alignment methodology was employed for counterfactual simulation of reconstructed collisions.•The simulated Waymo Driver prevented the initiation of…”
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Injury mitigation estimates for an intersection driver assistance system in straight crossing path crashes in the United States by Scanlon, John M., Sherony, Rini, Gabler, Hampton C.

“…Objective: Accounting for one fifth of all crashes and one sixth of all fatal crashes in the United States, intersection crashes are among the most frequent…”
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Passenger and heavy vehicle collisions with pedestrians: Assessment of injury mechanisms and risk by Schubert, Angela, Babisch, Stefan, Scanlon, John M., Campolettano, Eamon T., Roessler, Robby, Unger, Thomas, McMurry, Timothy L.

“…•Study used reconstruction data from the German In-Depth Accident Study (GIDAS)•Collisions of pedestrian with passenger vehicles and heavy…”
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Models of Driver Acceleration Behavior Prior to Real-World Intersection Crashes by Scanlon, John M., Sherony, Rini, Gabler, Hampton C.

“…Drivers involved in intersection collisions are at high risk of serious or fatal injury. Intersection advanced driver assistance systems (I-ADAS) are emerging…”
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Determination of functional scenarios for intersection collisions by Bangert, L. Garrett, Lubash, Theodore, Scanlon, John M., Kusano, Kristofer D., Riexinger, Luke E.

“…•An unsupervised decision tree characterized intersection crash data structures.•There were five main intersection crash data structures.•A travel lane…”
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Bridging the gap: Mechanistic-based cyclist injury risk curves using two decades of crash data by Schubert, Angela, Campolettano, Eamon T., Scanlon, John M., McMurry, Timothy L., Unger, Thomas

“…Injury risk curves are vital in quantifying the relative safety consequences of real-world collisions. Previous injury risk curves for bicycle-passenger…”
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Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data Recorders by Scanlon, John M., Kusano, Kristofer D., Gabler, Hampton C.

“…Objective: Intersection crashes account for over 4,500 fatalities in the United States each year. Intersection Advanced Driver Assistance Systems (I-ADAS) are…”
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Baseline vulnerable road user injury risk in multiple U.S. dense urban driving environments by Campolettano, Eamon T., Scanlon, John M., Kadar, Ilan, Lavy, Lev Y., Moura, Daniel C., Kusano, Kristofer D.

“…Understanding and modeling baseline driving safety risk in dense urban areas represents a crucial starting point for automated driving system (ADS) safety…”
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Comparison of Waymo rider-only crash data to human benchmarks at 7.1 million miles by Kusano, Kristofer D., Scanlon, John M., Chen, Yin-Hsiu, McMurry, Timothy L., Chen, Ruoshu, Gode, Tilia, Victor, Trent

“…This article examines the safety performance of the Waymo Driver, an SAE level 4 automated driving system (ADS) used in a rider-only (RO) ride-hailing…”
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Benchmarks for retrospective automated driving system crash rate analysis using police-reported crash data by Scanlon, John M., Kusano, Kristofer D., Fraade-Blanar, Laura A., McMurry, Timothy L., Chen, Yin-Hsiu, Victor, Trent

“…With fully automated driving systems (ADS; SAE level 4) ride-hailing services expanding in the U.S., we are now approaching an inflection point in the history…”
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An omni-directional model of injury risk in planar crashes with application for autonomous vehicles by McMurry, Timothy L., Cormier, Joseph M., Daniel, Tom, Scanlon, John M., Crandall, Jeff R.

“…Objective: Automated driving systems (ADS) are actively being deployed within the driving fleet. ADS are designed to safely navigate roadways, which entails an…”
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Predicting crash-relevant violations at stop sign-controlled intersections for the development of an intersection driver assistance system by Scanlon, John M., Sherony, Rini, Gabler, Hampton C.

“…Objective: Intersection crashes resulted in over 5,000 fatalities in the United States in 2014. Intersection Advanced Driver Assistance Systems (I-ADAS) are…”
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Potential of intersection driver assistance systems to mitigate straight crossing path crashes using U.S. nationally representative crash data by Scanlon, John M., Kusano, Kristofer D., Sherony, Rini, Gabler, Hampton C.

“…Intersection Advanced Driver Assistance Systems (I-ADAS) are active safety systems that have the potential to help prevent/mitigate crashes and injuries in…”
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Preliminary potential crash prevention estimates for an Intersection Advanced Driver Assistance System in straight crossing path crashes by Scanlon, John M., Sherony, Rini, Gabler, Hampton C.

“…Intersection crashes are among the most frequent and lethal crash modes in the United States. Accounting for over one-third of all intersection crashes,…”
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A Preliminary Model of Driver Acceleration Behavior Prior to Real-World Straight Crossing Path Intersection Crashes Using EDRs by Scanlon, John M., Kusano, Kristofer D., Gabler, Hampton Clay

“…There are approximately 4,500 traffic fatalities at intersections each year in the U.S. One method for reducing these crashes is through equipping vehicles…”
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Lane Departure Warning and Prevention Systems in the U.S. Vehicle Fleet: Influence of Roadway Characteristics on Potential Safety Benefits by Scanlon, John M., Kusano, Kristofer D., Gabler, Hampton C.

“…Road departure crashes account for one-tenth of all crashes but nearly one-third of all fatal crashes. Lane departure warning (LDW) and lane departure…”
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Dynamic Benchmarks: Spatial and Temporal Alignment for ADS Performance Evaluation by Chen, Yin-Hsiu, Scanlon, John M, Kusano, Kristofer D, McMurry, Timothy L, Victor, Trent

“…Deployed SAE level 4+ Automated Driving Systems (ADS) without a human driver are currently operational ride-hailing fleets on surface streets in the United…”
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Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles by Kusano, Kristofer D, Scanlon, John M, Chen, Yin-Hsiu, McMurry, Timothy L, Chen, Ruoshu, Gode, Tilia, Victor, Trent

“…This paper examines the safety performance of the Waymo Driver, an SAE level 4 automated driving system (ADS) used in a rider-only (RO) ride-hailing…”
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Benchmarks for Retrospective Automated Driving System Crash Rate Analysis Using Police-Reported Crash Data by Scanlon, John M, Kusano, Kristofer D, Fraade-Blanar, Laura A, McMurry, Timothy L, Chen, Yin-Hsiu, Victor, Trent

“…With fully automated driving systems (ADS; SAE level 4) ride-hailing services expanding in the US, we are now approaching an inflection point, where the…”
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RAVE Checklist: Recommendations for Overcoming Challenges in Retrospective Safety Studies of Automated Driving Systems by Scanlon, John M, Teoh, Eric R, Kidd, David G, Kusano, Kristofer D, Bärgman, Jonas, Chi-Johnston, Geoffrey, Di Lillo, Luigi, Favaro, Francesca, Flannagan, Carol, Liers, Henrik, Lin, Bonnie, Lindman, Magdalena, McLaughlin, Shane, Perez, Miguel, Victor, Trent

“…The public, regulators, and domain experts alike seek to understand the effect of deployed SAE level 4 automated driving system (ADS) technologies on safety…”
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