BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

373 related articles for article (PubMed ID: 32896748)

  • 1. Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles.
    Lian Y; Zhang G; Lee J; Huang H
    Accid Anal Prev; 2020 Oct; 146():105711. PubMed ID: 32896748
    [TBL] [Abstract][Full Text] [Related]  

  • 2. How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data.
    Arvin R; Kamrani M; Khattak AJ
    Accid Anal Prev; 2019 Jun; 127():118-133. PubMed ID: 30851563
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Is vehicle automation enough to prevent crashes? Role of traffic operations in automated driving environments for traffic safety.
    Jeong E; Oh C; Lee S
    Accid Anal Prev; 2017 Jul; 104():115-124. PubMed ID: 28499140
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling.
    Wang C; Xie Y; Huang H; Liu P
    Accid Anal Prev; 2021 Jul; 157():106157. PubMed ID: 33975090
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?
    Preuk K; Stemmler E; Schießl C; Jipp M
    Accid Anal Prev; 2016 Oct; 95(Pt A):149-56. PubMed ID: 27442594
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Assessment of the safety benefits of vehicles' advanced driver assistance, connectivity and low level automation systems.
    Yue L; Abdel-Aty M; Wu Y; Wang L
    Accid Anal Prev; 2018 Aug; 117():55-64. PubMed ID: 29654988
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review.
    Ahmed MM; Khan MN; Das A; Dadvar SE
    Accid Anal Prev; 2022 Mar; 167():106568. PubMed ID: 35085856
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways.
    Ren R; Li H; Han T; Tian C; Zhang C; Zhang J; Proctor RW; Chen Y; Feng Y
    Accid Anal Prev; 2023 Jun; 186():107021. PubMed ID: 36965209
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Impact Evaluation of Cyberattacks on Connected and Automated Vehicles in Mixed Traffic Flow and Its Resilient and Robust Control Strategy.
    Wang T; Tu M; Lyu H; Li Y; Orfila O; Zou G; Gruyer D
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616672
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intelligent Traffic Flow Prediction and Analysis Based on Internet of Things and Big Data.
    Liu B; Zhang T; Hu W
    Comput Intell Neurosci; 2022; 2022():6420799. PubMed ID: 35755732
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes.
    Khattak ZH; Smith BL; Fontaine MD
    Accid Anal Prev; 2021 Feb; 150():105861. PubMed ID: 33445034
    [TBL] [Abstract][Full Text] [Related]  

  • 12. From conflicts to crashes: Simulating macroscopic connected and automated driving vehicle safety.
    Oikonomou MG; Ziakopoulos A; Chaudhry A; Thomas P; Yannis G
    Accid Anal Prev; 2023 Jul; 187():107087. PubMed ID: 37094536
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles.
    Sinha A; Chand S; Wijayaratna KP; Virdi N; Dixit V
    Accid Anal Prev; 2020 Jul; 142():105567. PubMed ID: 32361477
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Explicitly incorporating surrogate safety measures into connected and automated vehicle longitudinal control objectives for enhancing platoon safety.
    Dai Y; Wang C; Xie Y
    Accid Anal Prev; 2023 Apr; 183():106975. PubMed ID: 36696746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology.
    Kwayu KM; Kwigizile V; Lee K; Oh JS
    Accid Anal Prev; 2021 Feb; 150():105899. PubMed ID: 33285445
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluating the safety impact of connected and autonomous vehicles on motorways.
    Papadoulis A; Quddus M; Imprialou M
    Accid Anal Prev; 2019 Mar; 124():12-22. PubMed ID: 30610995
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An integrated architecture for intelligence evaluation of automated vehicles.
    Huang H; Zheng X; Yang Y; Liu J; Liu W; Wang J
    Accid Anal Prev; 2020 Sep; 145():105681. PubMed ID: 32712190
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.
    Rahman MS; Abdel-Aty M; Hasan S; Cai Q
    J Safety Res; 2019 Sep; 70():275-288. PubMed ID: 31848006
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Edge conditions and crash-avoidance roles: the future of traffic safety in the world of autonomous vehicles.
    Ryerson MS; Miller JE; Winston FK
    Inj Prev; 2019 Apr; 25(2):76-79. PubMed ID: 29353244
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 19.