Search Results - "Kusano, Kristofer D."

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  1. 1

    Age and Gender Differences in Time to Collision at Braking From the 100-Car Naturalistic Driving Study by Montgomery, Jade, Kusano, Kristofer D., Gabler, Hampton C.

    Published in Traffic injury prevention (2014)
    “…Objective: Forward collision warning (FCW) is an active safety system that aims to mitigate the effect of forward collisions by warning the driver of objects…”
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    Journal Article
  2. 2

    Automated crash notification: Evaluation of in-vehicle principal direction of force estimations by Kusano, Kristofer D., Gabler, Hampton C.

    “…► Struck side greatly alters injury estimates in automated crash notification systems. ► In-vehicle sensors can estimate principal direction of force, not…”
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    Journal Article Conference Proceeding
  3. 3

    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

    Published in Accident analysis and prevention (01-12-2021)
    “…•A novel alignment methodology was employed for counterfactual simulation of reconstructed collisions.•The simulated Waymo Driver prevented the initiation of…”
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    Journal Article
  4. 4

    Characterization of Opposite-Direction Road Departure Crashes in the United States by Kusano, Kristofer D., Gabler, Hampton C.

    Published in Transportation research record (01-01-2013)
    “…Opposite-direction crashes can be extremely severe because opposing vehicles often have high relative speeds. The objective of this study was to characterize…”
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    Journal Article
  5. 5

    Determination of functional scenarios for intersection collisions by Bangert, L. Garrett, Lubash, Theodore, Scanlon, John M., Kusano, Kristofer D., Riexinger, Luke E.

    Published in Accident analysis and prevention (01-12-2023)
    “…•An unsupervised decision tree characterized intersection crash data structures.•There were five main intersection crash data structures.•A travel lane…”
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    Journal Article
  6. 6

    Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data Recorders by Scanlon, John M., Kusano, Kristofer D., Gabler, Hampton C.

    Published in Traffic injury prevention (08-10-2015)
    “…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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    Journal Article
  7. 7

    Comparison of Expected Crash and Injury Reduction from Production Forward Collision and Lane Departure Warning Systems by Kusano, Kristofer D., Gabler, Hampton C.

    Published in Traffic injury prevention (08-10-2015)
    “…Objectives: The U.S. New Car Assessment Program (NCAP) now tests for forward collision warning (FCW) and lane departure warning (LDW). The design of these…”
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    Journal Article
  8. 8

    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.

    Published in Traffic injury prevention (01-11-2024)
    “…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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    Journal Article
  9. 9

    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

    Published in Traffic injury prevention (01-11-2024)
    “…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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    Journal Article
  10. 10

    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

    Published in Traffic injury prevention (01-11-2024)
    “…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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    Journal Article
  11. 11

    Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study by Chen, Rong, Kusano, Kristofer D., Gabler, Hampton C.

    Published in Traffic injury prevention (08-10-2015)
    “…Objective: Lane changes with the intention to overtake the vehicle in front are especially challenging scenarios for forward collision warning (FCW) designs…”
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    Journal Article
  12. 12

    Population distributions of time to collision at brake application during car following from naturalistic driving data by Kusano, Kristofer D., Chen, Rong, Montgomery, Jade, Gabler, Hampton C.

    Published in Journal of safety research (01-09-2015)
    “…Forward collision warning (FCW) systems are designed to mitigate the effects of rear-end collisions. Driver acceptance of these systems is crucial to their…”
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    Journal Article
  13. 13

    Comprehensive Target Populations for Current Active Safety Systems Using National Crash Databases by Kusano, Kristofer D., Gabler, Hampton C.

    Published in Traffic injury prevention (01-01-2014)
    “…Objective: The objective of active safety systems is to prevent or mitigate collisions. A critical component in the design of active safety systems is the…”
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    Journal Article
  14. 14

    Target Population for Intersection Advanced Driver Assistance Systems in the U.S by Kusano, Kristofer D., Gabler, Hampton C.

    “…Intersection crashes are a frequent and dangerous crash mode in the U.S. Emerging Intersection Advanced Driver Assistance Systems (I-ADAS) aim to assist the…”
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    Journal Article
  15. 15

    Pendulum testing as a means of assessing the crash performance of longitudinal barrier with minor damage by Gabauer, Douglas J., Kusano, Kristofer D., Marzougui, Dhafer, Opiela, Kenneth, Hargrave, Martin, Gabler, Hampton C.

    “…Longitudinal barriers such as w-beam guardrails are subjected to a series of full-scale crash tests to determine their impact performance before being…”
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    Journal Article
  16. 16

    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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    Conference Proceeding
  17. 17

    Methodology for Using Advanced Event Data Recorders to Reconstruct Vehicle Trajectories for Use in Safety Impact Methodologies (SIM) by Kusano, Kristofer D., Sherony, Rini, Gabler, Hampton C.

    Published in Traffic injury prevention (2013)
    “…Objective: Safety impact methodologies (SIMs) have the goal of estimating safety benefits for proposed active safety systems. Because the precrash movements of…”
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    Journal Article
  18. 18

    Safety Benefits of Forward Collision Warning, Brake Assist, and Autonomous Braking Systems in Rear-End Collisions by Kusano, K. D., Gabler, H. C.

    “…This paper examines the potential effectiveness of the following three precollision system (PCS) algorithms: 1) forward collision warning only; 2) forward…”
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    Journal Article
  19. 19

    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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    Conference Proceeding Journal Article
  20. 20

    Model of fleet-wide safety benefits of Lane Departure Warning systems by Gorman, Thomas I., Kusano, Kristofer D., Gabler, Hampton C.

    “…This study examines the potential effectiveness of Lane Departure Warning (LDW) systems, an active safety system that aims to prevent or mitigate unintended…”
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    Conference Proceeding