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Journal Abstract Search
236 related items for PubMed ID: 32125892
1. Maximum acceptable speed based on physiological performance for different alignments of rural roads under the influence of visibility in fog-a driving simulator study. Wang K, Zhang W, Feng Z, Sze NN, Hu Z, Wang C. Traffic Inj Prev; 2020; 21(2):145-150. PubMed ID: 32125892 [Abstract] [Full Text] [Related]
2. The effects of visibility conditions, traffic density, and navigational challenge on speed compensation and driving performance in older adults. Trick LM, Toxopeus R, Wilson D. Accid Anal Prev; 2010 Nov; 42(6):1661-71. PubMed ID: 20728615 [Abstract] [Full Text] [Related]
3. Reasonable driving speed limits based on recognition time in a dynamic low-visibility environment related to fog-A driving simulator study. Wang K, Zhang W, Feng Z, Yu H, Wang C. Accid Anal Prev; 2021 May; 154():106060. PubMed ID: 33706024 [Abstract] [Full Text] [Related]
4. Understanding the impact of road design characteristic on teen driver's fatality. Kim W, Svancara AM, Kelley-Baker T. Traffic Inj Prev; 2020 May; 21(5):313-318. PubMed ID: 32319815 [Abstract] [Full Text] [Related]
10. Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator. Chang X, Li H, Qin L, Rong J, Lu Y, Chen X. Accid Anal Prev; 2019 Jul; 128():197-205. PubMed ID: 31054492 [Abstract] [Full Text] [Related]
12. Effects of safety measures on driver's speed behavior at pedestrian crossings. Bella F, Silvestri M. Accid Anal Prev; 2015 Oct; 83():111-24. PubMed ID: 26253423 [Abstract] [Full Text] [Related]
13. Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis. Shangguan Q, Fu T, Liu S. Accid Anal Prev; 2020 May; 139():105499. PubMed ID: 32199158 [Abstract] [Full Text] [Related]
18. Enhancement of road delineation can reduce safety. Sharfi T, Shinar D. J Safety Res; 2014 Jun; 49():61-8. PubMed ID: 24913488 [Abstract] [Full Text] [Related]
19. 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]