BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

418 related articles for article (PubMed ID: 32180531)

  • 1. Who is to blame for crashes involving autonomous vehicles? Exploring blame attribution across the road transport system.
    Pöllänen E; Read GJM; Lane BR; Thompson J; Salmon PM
    Ergonomics; 2020 May; 63(5):525-537. PubMed ID: 32180531
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparing car drivers' and motorcyclists' opinions about junction crashes.
    Robbins CJ; Allen HA; Chapman P
    Accid Anal Prev; 2018 Aug; 117():304-317. PubMed ID: 29753219
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Blame Attribution Asymmetry in Human-Automation Cooperation.
    Liu P; Du Y
    Risk Anal; 2022 Aug; 42(8):1769-1783. PubMed ID: 33442934
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Rage against the machine? Google's self-driving cars versus human drivers.
    Teoh ER; Kidd DG
    J Safety Res; 2017 Dec; 63():57-60. PubMed ID: 29203024
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of car crashes resulting in fatal and serious injuries to analyze a safe road transport system model and to identify system weaknesses.
    Stigson H; Hill J
    Traffic Inj Prev; 2009 Oct; 10(5):441-50. PubMed ID: 19746308
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Characteristics of rear-end crashes involving passenger vehicles with automatic emergency braking.
    Cicchino JB; Zuby DS
    Traffic Inj Prev; 2019; 20(sup1):S112-S118. PubMed ID: 31381436
    [No Abstract]   [Full Text] [Related]  

  • 7. Road safety from the perspective of driver gender and age as related to the injury crash frequency and road scenario.
    Russo F; Biancardo SA; Dell'Acqua G
    Traffic Inj Prev; 2014; 15(1):25-33. PubMed ID: 24279963
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Characteristics of Single Vehicle Crashes with a Teen Driver in South Carolina, 2005-2008.
    Shults RA; Bergen G; Smith TJ; Cook L; Kindelberger J; West B
    Accid Anal Prev; 2019 Jan; 122():325-331. PubMed ID: 28947072
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation.
    Chen C; Zhang G; Liu XC; Ci Y; Huang H; Ma J; Chen Y; Guan H
    Accid Anal Prev; 2016 Dec; 97():69-78. PubMed ID: 27591415
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inattention and distraction in fatal road crashes - Results from in-depth crash investigations in Norway.
    Sundfør HB; Sagberg F; Høye A
    Accid Anal Prev; 2019 Apr; 125():152-157. PubMed ID: 30763812
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data.
    Singh S; Ali Y; Haque MM
    Accid Anal Prev; 2024 Feb; 195():107416. PubMed ID: 38056025
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of near crashes among teen, young adult, and experienced adult drivers using the SHRP2 naturalistic driving study.
    Seacrist T; Douglas EC; Huang E; Megariotis J; Prabahar A; Kashem A; Elzarka A; Haber L; MacKinney T; Loeb H
    Traffic Inj Prev; 2018 Feb; 19(sup1):S89-S96. PubMed ID: 29584473
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Truck drivers' opinion on road safety in Tanzania--a questionnaire study.
    Kircher K; Andersson J
    Traffic Inj Prev; 2013; 14(1):103-11. PubMed ID: 23259525
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Responsibility for crashes of autonomous vehicles: an ethical analysis.
    Hevelke A; Nida-Rümelin J
    Sci Eng Ethics; 2015 Jun; 21(3):619-30. PubMed ID: 25027859
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis.
    Lee S; Arvin R; Khattak AJ
    Accid Anal Prev; 2023 Mar; 181():106932. PubMed ID: 36580765
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain.
    Scanlon JM; Kusano KD; Daniel T; Alderson C; Ogle A; Victor T
    Accid Anal Prev; 2021 Dec; 163():106454. PubMed ID: 34700249
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Overloading among crash-involved vehicles in China: identification of factors associated with overloading and crash severity.
    Zhang G; Li Y; King MJ; Zhong Q
    Inj Prev; 2019 Feb; 25(1):36-46. PubMed ID: 29563142
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology.
    Liu Q; Wang X; Wu X; Glaser Y; He L
    Accid Anal Prev; 2021 Sep; 159():106281. PubMed ID: 34273622
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-agent traffic simulations to estimate the impact of automated technologies on safety.
    Kitajima S; Shimono K; Tajima J; Antona-Makoshi J; Uchida N
    Traffic Inj Prev; 2019; 20(sup1):S58-S64. PubMed ID: 31381431
    [No Abstract]   [Full Text] [Related]  

  • 20. Analyzing fault and severity in pedestrian-motor vehicle accidents in China.
    Zhang G; Yau KK; Zhang X
    Accid Anal Prev; 2014 Dec; 73():141-50. PubMed ID: 25238293
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.