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 *

120 related articles for article (PubMed ID: 37583140)

  • 1. Physics of automated-driving vehicular traffic.
    Kerner BS
    Phys Rev E; 2023 Jul; 108(1-1):014302. PubMed ID: 37583140
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Statistical physics of synchronized traffic flow: Spatiotemporal competition between S→F and S→J instabilities.
    Kerner BS
    Phys Rev E; 2019 Jul; 100(1-1):012303. PubMed ID: 31499898
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical physics of the development of Kerner's synchronized-to-free-flow instability at a moving bottleneck in vehicular traffic.
    Wiering V; Klenov SL; Kerner BS; Schreckenberg M
    Phys Rev E; 2022 Nov; 106(5-1):054306. PubMed ID: 36559348
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simple cellular automaton model for traffic breakdown, highway capacity, and synchronized flow.
    Kerner BS; Klenov SL; Schreckenberg M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Oct; 84(4 Pt 2):046110. PubMed ID: 22181230
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Physics of automated driving in framework of three-phase traffic theory.
    Kerner BS
    Phys Rev E; 2018 Apr; 97(4-1):042303. PubMed ID: 29758629
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Phase transitions in traffic flow on multilane roads.
    Kerner BS; Klenov SL
    Phys Rev E Stat Nonlin Soft Matter Phys; 2009 Nov; 80(5 Pt 2):056101. PubMed ID: 20365037
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Probabilistic physical characteristics of phase transitions at highway bottlenecks: incommensurability of three-phase and two-phase traffic-flow theories.
    Kerner BS; Klenov SL; Schreckenberg M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2014 May; 89(5):052807. PubMed ID: 25353844
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spontaneous phase transition from free flow to synchronized flow in traffic on a single-lane highway.
    Jin CJ; Wang W; Jiang R; Zhang HM; Wang H
    Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Jan; 87(1):012815. PubMed ID: 23410396
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Microscopic theory of traffic-flow instability governing traffic breakdown at highway bottlenecks: Growing wave of increase in speed in synchronized flow.
    Kerner BS
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Dec; 92(6):062827. PubMed ID: 26764764
    [TBL] [Abstract][Full Text] [Related]  

  • 10. End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm.
    Hu H; Lu Z; Wang Q; Zheng C
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32971987
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Physics of microscopic vehicular traffic prediction for automated driving.
    Kerner BS; Klenov SL
    Phys Rev E; 2022 Oct; 106(4-1):044307. PubMed ID: 36397476
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Complexity of spatiotemporal traffic phenomena in flow of identical drivers: explanation based on fundamental hypothesis of three-phase theory.
    Kerner BS
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Mar; 85(3 Pt 2):036110. PubMed ID: 22587152
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Microscopic theory of spatial-temporal congested traffic patterns at highway bottlenecks.
    Kerner BS; Klenov SL
    Phys Rev E Stat Nonlin Soft Matter Phys; 2003 Sep; 68(3 Pt 2):036130. PubMed ID: 14524855
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Traffic Breakdown Probability Estimation for Mixed Flow of Autonomous Vehicles and Human Driven Vehicles.
    Su L; Wei J; Zhang X; Guo W; Zhang K
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050546
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Vehicular Cloud for Smart Driving Using Internet of Things.
    Vijayarangam S; Megalai J; Krishnan S; Nagarajan S; Devi MR; Lokesh S
    J Med Syst; 2018 Oct; 42(12):240. PubMed ID: 30334104
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity.
    Kesting A; Treiber M; Helbing D
    Philos Trans A Math Phys Eng Sci; 2010 Oct; 368(1928):4585-605. PubMed ID: 20819823
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations: The Role of Traffic Density.
    Gold C; Körber M; Lechner D; Bengler K
    Hum Factors; 2016 Jun; 58(4):642-52. PubMed ID: 26984515
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.