BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 37565705)

  • 1. When driving becomes risky: Micro-scale variants of the lane-changing maneuver in highway traffic.
    Qayyum A; De Baets B; Van Ackere S; Witlox F; De Tré G; Van de Weghe N
    Traffic Inj Prev; 2023; 24(7):583-591. PubMed ID: 37565705
    [No Abstract]   [Full Text] [Related]  

  • 2. A data-driven feature learning approach based on Copula-Bayesian Network and its application in comparative investigation on risky lane-changing and car-following maneuvers.
    Chen T; Wong YD; Shi X; Yang Y
    Accid Anal Prev; 2021 May; 154():106061. PubMed ID: 33691229
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of augmented reality cues to improve the safety of left-turn maneuvers in a connected environment: A driving simulator study.
    Calvi A; D'Amico F; Ferrante C; Bianchini Ciampoli L
    Accid Anal Prev; 2020 Dec; 148():105793. PubMed ID: 33017731
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing.
    Chen Q; Gu R; Huang H; Lee J; Zhai X; Li Y
    Accid Anal Prev; 2021 Mar; 151():105871. PubMed ID: 33360091
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new method of temporal and spatial risk estimation for lane change considering conventional recognition defects.
    Wu J; Wen H; Qi W
    Accid Anal Prev; 2020 Dec; 148():105796. PubMed ID: 33099126
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Overtaking risk modeling in two-lane two-way highway with heterogeneous traffic environment of a low-income country using naturalistic driving dataset.
    Mahmud SMS; Ferreira L; Hoque MS; Tavassoli A
    J Safety Res; 2022 Feb; 80():380-390. PubMed ID: 35249618
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification.
    Wu J; Chen X; Bie Y; Zhou W
    Accid Anal Prev; 2023 Feb; 180():106907. PubMed ID: 36455450
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An entropy-based analysis of lane changing behavior: An interactive approach.
    Kosun C; Ozdemir S
    Traffic Inj Prev; 2017 May; 18(4):441-447. PubMed ID: 27603156
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effect of traffic density on drivers' lane change and overtaking maneuvers in freeway situation-A driving simulator-based study.
    Yang L; Li X; Guan W; Zhang HM; Fan L
    Traffic Inj Prev; 2018; 19(6):594-600. PubMed ID: 29757689
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study.
    Chen R; Kusano KD; Gabler HC
    Traffic Inj Prev; 2015; 16 Suppl 2():S176-81. PubMed ID: 26436229
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A safety score for the assessment of driving style.
    Schöner HP; Pretto P; Sodnik J; Kaluza B; Komavec M; Varesanovic D; Chouchane H; Antona-Makoshi J
    Traffic Inj Prev; 2021; 22(5):384-389. PubMed ID: 33881358
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Interaction driver-bicyclist on rural roads: Effects of cross-sections and road geometric elements.
    Bella F; Silvestri M
    Accid Anal Prev; 2017 May; 102():191-201. PubMed ID: 28319757
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact of in-vehicle navigation information on lane-change behavior in urban expressway diverge segments.
    Yun M; Zhao J; Zhao J; Weng X; Yang X
    Accid Anal Prev; 2017 Sep; 106():53-66. PubMed ID: 28577392
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Design and evaluation of cooperative human-machine interface for changing lanes in conditional driving automation.
    Muslim H; Kiu Leung C; Itoh M
    Accid Anal Prev; 2022 Sep; 174():106719. PubMed ID: 35660872
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Adaptive Traffic-Flow Management System with a Cooperative Transitional Maneuver for Vehicular Platoons.
    Hota L; Nayak BP; Sahoo B; Chong PHJ; Kumar A
    Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904684
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Lane-Changing Decision-Making Model of Bus Entering considering Bus Priority Based on GRU Neural Network.
    Lv W; Lv Y; Guo J; Ma J
    Comput Intell Neurosci; 2022; 2022():4558946. PubMed ID: 36248950
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of risky driving behaviors among bus drivers in China: The role of enterprise management, external environment and attitudes towards traffic safety.
    Wang L; Wang Y; Shi L; Xu H
    Accid Anal Prev; 2022 Apr; 168():106589. PubMed ID: 35151095
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Research on Lane Changing Game and Behavioral Decision Making Based on Driving Styles and Micro-Interaction Behaviors.
    Ye M; Li P; Yang Z; Liu Y
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146081
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.