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 *

229 related articles for article (PubMed ID: 32899773)

  • 1. Modeling Car-Following Behaviors and Driving Styles with Generative Adversarial Imitation Learning.
    Zhou Y; Fu R; Wang C; Zhang R
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32899773
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effects of peripheral transverse line markings on drivers' speed and headway choice and crash risk in car-following: A naturalistic observation study.
    Ding N; Zhu S; Jiao N; Liu B
    Accid Anal Prev; 2020 Oct; 146():105701. PubMed ID: 32823033
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Effects of assignments of dedicated automated vehicle lanes and inter-vehicle distances of automated vehicle platoons on car-following performance of nearby manual vehicle drivers.
    Chen F; Lu G; Tan H; Liu M; Wan H
    Accid Anal Prev; 2022 Nov; 177():106826. PubMed ID: 36081223
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How do drivers respond to driving risk during car-following? Risk-response driver model and its application in human-like longitudinal control.
    Zhao X; He R; Wang J
    Accid Anal Prev; 2020 Dec; 148():105783. PubMed ID: 33022511
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Velocity control in car-following behavior with autonomous vehicles using reinforcement learning.
    Wang Z; Huang H; Tang J; Meng X; Hu L
    Accid Anal Prev; 2022 Sep; 174():106729. PubMed ID: 35700685
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optical information for car following: the driving by visual angle (DVA) model.
    Andersen GJ; Sauer CW
    Hum Factors; 2007 Oct; 49(5):878-96. PubMed ID: 17915604
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fleet analysis of headway distance for autonomous driving.
    Ivanco A
    J Safety Res; 2017 Dec; 63():145-148. PubMed ID: 29203012
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver's Rear-End Risk Compensation Behavior via a Driving Simulator Study.
    Chen Y; Fu R; Xu Q; Yuan W
    Int J Environ Res Public Health; 2020 Feb; 17(4):. PubMed ID: 32092914
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Longitudinal control behaviour: Analysis and modelling based on experimental surveys in Italy and the UK.
    Pariota L; Bifulco GN; Galante F; Montella A; Brackstone M
    Accid Anal Prev; 2016 Apr; 89():74-87. PubMed ID: 26828955
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analysis of drivers' deceleration behavior based on naturalistic driving data.
    Li S; Li P; Yao Y; Han X; Xu Y; Chen L
    Traffic Inj Prev; 2020; 21(1):42-47. PubMed ID: 31986072
    [No Abstract]   [Full Text] [Related]  

  • 11. Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry.
    Ma Y; Li W; Tang K; Zhang Z; Chen S
    Accid Anal Prev; 2021 May; 154():106096. PubMed ID: 33770720
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A dynamic test scenario generation method for autonomous vehicles based on conditional generative adversarial imitation learning.
    Jia L; Yang D; Ren Y; Qian C; Feng Q; Sun B; Wang Z
    Accid Anal Prev; 2024 Jan; 194():107279. PubMed ID: 37897956
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Age and gender differences in time to collision at braking from the 100-Car Naturalistic Driving Study.
    Montgomery J; Kusano KD; Gabler HC
    Traffic Inj Prev; 2014; 15 Suppl 1():S15-20. PubMed ID: 25307380
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Impact of headway distance and car speed on drivers' decisions to answer an incoming call.
    Pouyakian M; Mahabadi HA; Yazdi SM; Hajizadeh E; Nahvi A
    Traffic Inj Prev; 2013; 14(7):749-55. PubMed ID: 23944976
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Driving with a partially autonomous forward collision warning system: how do drivers react?
    Muhrer E; Reinprecht K; Vollrath M
    Hum Factors; 2012 Oct; 54(5):698-708. PubMed ID: 23156616
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Safe, Efficient, and Comfortable Autonomous Driving Based on Cooperative Vehicle Infrastructure System.
    Chen J; Zhao C; Jiang S; Zhang X; Li Z; Du Y
    Int J Environ Res Public Health; 2023 Jan; 20(1):. PubMed ID: 36613215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sleep-deprived car-following: Indicators of rear-end crash potential.
    Mahajan K; Velaga NR
    Accid Anal Prev; 2021 Jun; 156():106123. PubMed ID: 33862404
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An examination of teen drivers' car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system.
    Bao S; Wu L; Yu B; Sayer JR
    Accid Anal Prev; 2020 Nov; 147():105762. PubMed ID: 32942123
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset.
    Wen X; Cui Z; Jian S
    Accid Anal Prev; 2022 Jul; 172():106689. PubMed ID: 35569279
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A CNN-LSTM Car-Following Model Considering Generalization Ability.
    Qin P; Li H; Li Z; Guan W; He Y
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679458
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.