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 *

196 related articles for article (PubMed ID: 33556654)

  • 1. 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]  

  • 2. 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]  

  • 3. Proposing an effective approach for traffic safety assessment on heterogeneous traffic conditions using surrogate safety measures and speed of the involved vehicles.
    Hasain NM; Ahmed MA
    Traffic Inj Prev; 2024; 25(2):219-227. PubMed ID: 38085579
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections.
    Guo Y; Sayed T; Essa M
    Accid Anal Prev; 2020 Sep; 144():105660. PubMed ID: 32623321
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Longitudinal traffic conflict analysis of autonomous and traditional vehicle platoons in field tests via surrogate safety measures.
    Das T; Shoaib Samandar M; Rouphail N
    Accid Anal Prev; 2022 Nov; 177():106822. PubMed ID: 36103759
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of countermeasures for red light running by traffic simulator-based surrogate safety measures.
    Lee C; So JJ; Ma J
    Traffic Inj Prev; 2018 Jan; 19(1):1-8. PubMed ID: 28636489
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial.
    Mousavi SM; Osman OA; Lord D; Dixon KK; Dadashova B
    Accid Anal Prev; 2021 Mar; 152():105982. PubMed ID: 33497855
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimation of rear-end vehicle crash frequencies in urban road tunnels.
    Meng Q; Qu X
    Accid Anal Prev; 2012 Sep; 48():254-63. PubMed ID: 22664688
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Validity of failure-caused traffic conflicts as surrogates of rear-end collisions in naturalistic driving studies.
    Tarko AP; Lizarazo CG
    Accid Anal Prev; 2021 Jan; 149():105863. PubMed ID: 33189030
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning the representation of surrogate safety measures to identify traffic conflict.
    Lu J; Grembek O; Hansen M
    Accid Anal Prev; 2022 Sep; 174():106755. PubMed ID: 35714519
    [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. Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles.
    Mahdinia I; Mohammadnazar A; Arvin R; Khattak AJ
    Accid Anal Prev; 2021 Mar; 152():106006. PubMed ID: 33556655
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Predicting real-time traffic conflicts using deep learning.
    Formosa N; Quddus M; Ison S; Abdel-Aty M; Yuan J
    Accid Anal Prev; 2020 Mar; 136():105429. PubMed ID: 31931409
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation.
    Fu C; Sayed T; Zheng L
    Accid Anal Prev; 2021 Sep; 160():106309. PubMed ID: 34311954
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations.
    Mattas K; Makridis M; Botzoris G; Kriston A; Minarini F; Papadopoulos B; Re F; Rognelund G; Ciuffo B
    Accid Anal Prev; 2020 Dec; 148():105794. PubMed ID: 33032008
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Vehicle manoeuvers as surrogate safety measures: Extracting data from the gps-enabled smartphones of regular drivers.
    Stipancic J; Miranda-Moreno L; Saunier N
    Accid Anal Prev; 2018 Jun; 115():160-169. PubMed ID: 29574309
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections.
    Huang F; Liu P; Yu H; Wang W
    Accid Anal Prev; 2013 Jan; 50():1014-24. PubMed ID: 23000074
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.