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Journal Abstract Search

392 related items for PubMed ID: 34965492

  • 1. Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach.
    Zhu J, Ma Y, Lou Y.
    Accid Anal Prev; 2022 Mar; 166():106546. PubMed ID: 34965492
    [Abstract] [Full Text] [Related]

  • 2. Network-wide safety impacts of dedicated lanes for connected and autonomous vehicles.
    Sha H, Singh MK, Haouari R, Papazikou E, Quddus M, Quigley C, Chaudhry A, Thomas P, Weijermars W, Morris A.
    Accid Anal Prev; 2024 Feb; 195():107424. PubMed ID: 38091887
    [Abstract] [Full Text] [Related]

  • 3. Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles.
    Sinha A, Chand S, Wijayaratna KP, Virdi N, Dixit V.
    Accid Anal Prev; 2020 Jul; 142():105567. PubMed ID: 32361477
    [Abstract] [Full Text] [Related]

  • 4. Utilizing UAV video data for in-depth analysis of drivers' crash risk at interchange merging areas.
    Gu X, Abdel-Aty M, Xiang Q, Cai Q, Yuan J.
    Accid Anal Prev; 2019 Feb; 123():159-169. PubMed ID: 30513457
    [Abstract] [Full Text] [Related]

  • 5. Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles.
    Zhu J, Tasic I.
    Accid Anal Prev; 2021 Mar; 152():105966. PubMed ID: 33493941
    [Abstract] [Full Text] [Related]

  • 6. 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
    [Abstract] [Full Text] [Related]

  • 7. Evaluating the safety impact of connected and autonomous vehicles on motorways.
    Papadoulis A, Quddus M, Imprialou M.
    Accid Anal Prev; 2019 Mar; 124():12-22. PubMed ID: 30610995
    [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
    [Abstract] [Full Text] [Related]

  • 9. Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways.
    Ren R, Li H, Han T, Tian C, Zhang C, Zhang J, Proctor RW, Chen Y, Feng Y.
    Accid Anal Prev; 2023 Jun; 186():107021. PubMed ID: 36965209
    [Abstract] [Full Text] [Related]

  • 10. Safety performance evaluation of freeway merging areas under autonomous vehicles environment using a co-simulation platform.
    Chen P, Ni H, Wang L, Yu G, Sun J.
    Accid Anal Prev; 2024 May; 199():107530. PubMed ID: 38437756
    [Abstract] [Full Text] [Related]

  • 11. Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes.
    Khattak ZH, Smith BL, Fontaine MD.
    Accid Anal Prev; 2021 Feb; 150():105861. PubMed ID: 33445034
    [Abstract] [Full Text] [Related]

  • 12. A Collaborative Merging Method for Connected and Automated Vehicle Platoons in a Freeway Merging Area with Considerations for Safety and Efficiency.
    Gao H, Cen Y, Liu B, Song X, Liu H, Liu J.
    Sensors (Basel); 2023 Apr 30; 23(9):. PubMed ID: 37177606
    [Abstract] [Full Text] [Related]

  • 13. Risk perception and the warning strategy based on safety potential field theory.
    Li L, Gan J, Yi Z, Qu X, Ran B.
    Accid Anal Prev; 2020 Dec 30; 148():105805. PubMed ID: 33120182
    [Abstract] [Full Text] [Related]

  • 14. Developing dynamic speed limit strategies for mixed traffic flow to reduce collision risks at freeway bottlenecks.
    Li Y, Pan B, Xing L, Yang M, Dai J.
    Accid Anal Prev; 2022 Sep 30; 175():106781. PubMed ID: 35926373
    [Abstract] [Full Text] [Related]

  • 15. Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment.
    Ma Y, Liu Q, Fu J, Liufu K, Li Q.
    Accid Anal Prev; 2023 May 30; 184():106999. PubMed ID: 36780868
    [Abstract] [Full Text] [Related]

  • 16. Existence of connected and autonomous vehicles in mixed traffic: Impacts on safety and environment.
    Wei S, Shao M.
    Traffic Inj Prev; 2024 May 30; 25(3):390-399. PubMed ID: 38165395
    [Abstract] [Full Text] [Related]

  • 17. Proactive crash risk prediction modeling for merging assistance system at interchange merging areas.
    Gu X, Cai Q, Lee J, Xiang Q, Ma Y, Xu X.
    Traffic Inj Prev; 2020 May 30; 21(3):234-240. PubMed ID: 32154738
    [Abstract] [Full Text] [Related]

  • 18. A Bayesian Driver Agent Model for Autonomous Vehicles System Based on Knowledge-Aware and Real-Time Data.
    Ma J, Xie H, Song K, Liu H.
    Sensors (Basel); 2021 Jan 06; 21(2):. PubMed ID: 33418987
    [Abstract] [Full Text] [Related]

  • 19. 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 06; 192():107244. PubMed ID: 37573710
    [Abstract] [Full Text] [Related]

  • 20. Potential risk assessment for safe driving of autonomous vehicles under occluded vision.
    Wang D, Fu W, Song Q, Zhou J.
    Sci Rep; 2022 Mar 23; 12(1):4981. PubMed ID: 35322105
    [Abstract] [Full Text] [Related]

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