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 *

113 related articles for article (PubMed ID: 38759380)

  • 1. Evaluating the performance of traffic conflict measures in real-time crash risk prediction using pre-crash vehicle trajectories.
    Chen K; Xu C; Liu P; Li Z; Wang Y
    Accid Anal Prev; 2024 Aug; 203():107640. PubMed ID: 38759380
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing the predictability of surrogate safety measures as crash precursors based on vehicle trajectory data prior to crashes.
    Wang Y; Xu C; Liu P; Li Z; Chen K
    Accid Anal Prev; 2024 Jun; 201():107573. PubMed ID: 38614051
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators.
    Zheng L; Sayed T; Essa M
    Accid Anal Prev; 2019 Feb; 123():314-323. PubMed ID: 30562670
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessing the crash risk of mixed traffic on multilane rural highways using a proactive safety approach.
    Kar P; Venthuruthiyil SP; Chunchu M
    Accid Anal Prev; 2023 Aug; 188():107099. PubMed ID: 37159970
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Impact of heterogeneity of car-following behavior on rear-end crash risk.
    Zhang J; Wang Y; Lu G
    Accid Anal Prev; 2019 Apr; 125():275-289. PubMed ID: 30802778
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation.
    Fu C; Sayed T
    Accid Anal Prev; 2021 Apr; 153():106051. PubMed ID: 33639443
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction and analysis of likelihood of freeway crash occurrence considering risky driving behavior.
    Ma Y; Zhang J; Lu J; Chen S; Xing G; Feng R
    Accid Anal Prev; 2023 Nov; 192():107244. PubMed ID: 37573710
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of rear-end conflict frequency using multiple-location traffic parameters.
    Katrakazas C; Theofilatos A; Islam MA; Papadimitriou E; Dimitriou L; Antoniou C
    Accid Anal Prev; 2021 Mar; 152():106007. PubMed ID: 33556654
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pedestrian crash risk analysis using extreme value models: New insights and evidence.
    Ankunda A; Ali Y; Mohanty M
    Accid Anal Prev; 2024 Aug; 203():107633. PubMed ID: 38754318
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction model.
    Wu D; Lee JJ; Li Y; Li J; Tian S; Yang Z
    Accid Anal Prev; 2024 Nov; 207():107738. PubMed ID: 39121575
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of effects of driver's evasive action time on rear-end collision risk using a driving simulator.
    Shah D; Lee C
    J Safety Res; 2021 Sep; 78():242-250. PubMed ID: 34399920
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation.
    Fu C; Sayed T
    Accid Anal Prev; 2021 Jul; 157():106159. PubMed ID: 33957475
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A crash prediction method based on bivariate extreme value theory and video-based vehicle trajectory data.
    Wang C; Xu C; Dai Y
    Accid Anal Prev; 2019 Feb; 123():365-373. PubMed ID: 30597330
    [TBL] [Abstract][Full Text] [Related]  

  • 14. In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areas.
    Weng J; Xue S; Yang Y; Yan X; Qu X
    Accid Anal Prev; 2015 Apr; 77():51-61. PubMed ID: 25687332
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Characteristics of automatic emergency braking responses in passenger vehicles evaluated in the IIHS front crash prevention program.
    Kidd DG; Perez-Rapela D; Jermakian JS
    Accid Anal Prev; 2023 Sep; 190():107150. PubMed ID: 37301163
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessing rear-end crash potential in urban locations based on vehicle-by-vehicle interactions, geometric characteristics and operational conditions.
    Dimitriou L; Stylianou K; Abdel-Aty MA
    Accid Anal Prev; 2018 Sep; 118():221-235. PubMed ID: 29502853
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events-Concept of event-based driving volatility.
    Wali B; Khattak AJ; Karnowski T
    Accid Anal Prev; 2019 Nov; 132():105277. PubMed ID: 31514087
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data.
    Arvin R; Kamrani M; Khattak AJ
    Accid Anal Prev; 2019 Nov; 132():105226. PubMed ID: 31465934
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.