These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 35316985)

  • 1. Interactions Between Heavy Trucks and Vulnerable Road Users-A Systematic Review to Inform the Interactive Capabilities of Highly Automated Trucks.
    Fabricius V; Habibovic A; Rizgary D; Andersson J; Wärnestål P
    Front Robot AI; 2022; 9():818019. PubMed ID: 35316985
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Truck drivers' behavior in encounters with vulnerable road users at intersections: Results from a test-track experiment.
    Schindler R; Bianchi Piccinini G
    Accid Anal Prev; 2021 Sep; 159():106289. PubMed ID: 34340136
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Kinematic cues in driver-pedestrian communication to support safe road crossing.
    Zach Noonan T; Gershon P; Domeyer J; Mehler B; Reimer B
    Accid Anal Prev; 2023 Nov; 192():107236. PubMed ID: 37531855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. One Solution Fits All? Evaluating Different Communication Strategies of a Light-based External Human-Machine Interface for Differently Sized Automated Vehicles from a Pedestrian's Perspective.
    Lau M; Jipp M; Oehl M
    Accid Anal Prev; 2022 Jun; 171():106641. PubMed ID: 35390700
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deriving functional safety (ISO 26262) S-parameters for vulnerable road users from national crash data.
    Krampe J; Junge M
    Accid Anal Prev; 2021 Feb; 150():105884. PubMed ID: 33360036
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The ideal vulnerable road user - a study of parameters affecting VRU detection.
    Charlebois D; Anctil B; Dube S; Saleh A; Pierre G; Chirila V; Nahimana F
    Traffic Inj Prev; 2023; 24(sup1):S62-S67. PubMed ID: 37267010
    [TBL] [Abstract][Full Text] [Related]  

  • 7. External Human-Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human-Computer Interaction Literature.
    Brill S; Payre W; Debnath A; Horan B; Birrell S
    Sensors (Basel); 2023 May; 23(9):. PubMed ID: 37177658
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Looking forward to safer HGVs: The impact of mirrors on driver reaction times.
    Mole CD; Wilkie RM
    Accid Anal Prev; 2017 Oct; 107():173-185. PubMed ID: 28865992
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring European Heavy Goods Vehicle Crashes Using a Three-Level Analysis of Crash Data.
    Schindler R; Jänsch M; Bálint A; Johannsen H
    Int J Environ Res Public Health; 2022 Jan; 19(2):. PubMed ID: 35055484
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrian' crossing behavior.
    Lee YM; Madigan R; Uzondu C; Garcia J; Romano R; Markkula G; Merat N
    J Safety Res; 2022 Feb; 80():270-280. PubMed ID: 35249607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Effect of eHMI Malfunctions on Younger and Elderly Pedestrians' Trust and Acceptance of Automated Vehicle Communication Signals.
    Hensch AC; Kreißig I; Beggiato M; Krems JF
    Front Psychol; 2022; 13():866475. PubMed ID: 35592174
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Toward a Holistic Communication Approach to an Automated Vehicle's Communication With Pedestrians: Combining Vehicle Kinematics With External Human-Machine Interfaces for Differently Sized Automated Vehicles.
    Lau M; Jipp M; Oehl M
    Front Psychol; 2022; 13():882394. PubMed ID: 35967627
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Crash severity analysis of vulnerable road users using machine learning.
    Komol MMR; Hasan MM; Elhenawy M; Yasmin S; Masoud M; Rakotonirainy A
    PLoS One; 2021; 16(8):e0255828. PubMed ID: 34352026
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Seeing through eyes of Drivers: Space consideration in investigating visibility of Vulnerable road users involved in crashes from Driver's perspective.
    Kutela B; Oscar C; Kidando E; Mihayo M
    Accid Anal Prev; 2023 Nov; 192():107260. PubMed ID: 37573708
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hey, watch where you're going! An on-road study of driver scanning failures towards pedestrians and cyclists.
    Kaya N; Girgis J; Hansma B; Donmez B
    Accid Anal Prev; 2021 Nov; 162():106380. PubMed ID: 34560508
    [TBL] [Abstract][Full Text] [Related]  

  • 16. External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions.
    de Clercq K; Dietrich A; Núñez Velasco JP; de Winter J; Happee R
    Hum Factors; 2019 Dec; 61(8):1353-1370. PubMed ID: 30912985
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Truck drivers' interaction with cyclists in right-turn situations.
    Kircher K; Ahlström C
    Accid Anal Prev; 2020 Jul; 142():105515. PubMed ID: 32380238
    [TBL] [Abstract][Full Text] [Related]  

  • 18. What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?
    Merat N; Louw T; Madigan R; Wilbrink M; Schieben A
    Accid Anal Prev; 2018 Sep; 118():244-252. PubMed ID: 29615186
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Vulnerable road user safety evaluation using probe vehicle data with collision warning information.
    Matsuo K; Chigai N; Chattha MI; Sugiki N
    Accid Anal Prev; 2022 Feb; 165():106528. PubMed ID: 34890917
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of Implicit Communication of Motorists and Cyclists in Intersection Using Video and Trajectory Data.
    Zhang M; Dotzauer M; Schießl C
    Front Psychol; 2022; 13():864488. PubMed ID: 35548500
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.