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Journal Abstract Search
1451 related items for PubMed ID: 27565040
1. A rear-end collision risk assessment model based on drivers' collision avoidance process under influences of cell phone use and gender-A driving simulator based study. Li X, Yan X, Wu J, Radwan E, Zhang Y. Accid Anal Prev; 2016 Dec; 97():1-18. PubMed ID: 27565040 [Abstract] [Full Text] [Related]
2. 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 19; 17(4):. PubMed ID: 32092914 [Abstract] [Full Text] [Related]
4. An improved automated braking system for rear-end collisions: A study based on a driving simulator experiment. Hang J, Yan X, Li X, Duan K, Yang J, Xue Q. J Safety Res; 2022 Feb 19; 80():416-427. PubMed ID: 35249623 [Abstract] [Full Text] [Related]
6. A parametric duration model of the reaction times of drivers distracted by mobile phone conversations. Haque MM, Washington S. Accid Anal Prev; 2014 Jan 19; 62():42-53. PubMed ID: 24129320 [Abstract] [Full Text] [Related]
8. Using perceptual cues for brake response to a lead vehicle: Comparing threshold and accumulator models of visual looming. Xue Q, Markkula G, Yan X, Merat N. Accid Anal Prev; 2018 Sep 19; 118():114-124. PubMed ID: 29929099 [Abstract] [Full Text] [Related]
9. Using naturalistic driving study data to investigate the impact of driver distraction on driver's brake reaction time in freeway rear-end events in car-following situation. Gao J, Davis GA. J Safety Res; 2017 Dec 19; 63():195-204. PubMed ID: 29203019 [Abstract] [Full Text] [Related]
13. Effects of safety measures on driver's speed behavior at pedestrian crossings. Bella F, Silvestri M. Accid Anal Prev; 2015 Oct 19; 83():111-24. PubMed ID: 26253423 [Abstract] [Full Text] [Related]
14. How does intersection field of view influence driving safety in an emergent situation? Yan X, Zhang X, Xue Q. Accid Anal Prev; 2018 Oct 19; 119():162-175. PubMed ID: 30036817 [Abstract] [Full Text] [Related]
15. Impact of mobile phone use on car-following behaviour of young drivers. Saifuzzaman M, Haque MM, Zheng Z, Washington S. Accid Anal Prev; 2015 Sep 19; 82():10-9. PubMed ID: 26009990 [Abstract] [Full Text] [Related]
16. Study on driver's active emergency response in dangerous traffic scenes based on driving simulator. Ma S, Xu S, Song J, Wang K, Qin H, Wang R. Traffic Inj Prev; 2024 Sep 19; 25(2):116-121. PubMed ID: 38019530 [Abstract] [Full Text] [Related]
19. 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 19; 146():105701. PubMed ID: 32823033 [Abstract] [Full Text] [Related]
20. In-vehicle warnings for work zone and related rear-end collisions: A driving simulator experiment. Hang J, Yan X, Li X, Duan K. Accid Anal Prev; 2022 Sep 19; 174():106768. PubMed ID: 35820314 [Abstract] [Full Text] [Related] Page: [Next] [New Search]