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 *

314 related articles for article (PubMed ID: 32590241)

  • 1. Effects of traffic enforcement cameras on macro-level traffic safety: A spatial modeling analysis considering interactions with roadway and Land use characteristics.
    Wang C; Xu C; Fan P
    Accid Anal Prev; 2020 Sep; 144():105659. PubMed ID: 32590241
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effects of automated speed enforcement in Montgomery County, Maryland, on vehicle speeds, public opinion, and crashes.
    Hu W; McCartt AT
    Traffic Inj Prev; 2016 Sep; 17 Suppl 1():53-8. PubMed ID: 27586103
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An evaluation of Winnipeg's photo enforcement safety program: results of time series analyses and an intersection camera experiment.
    Vanlaar W; Robertson R; Marcoux K
    Accid Anal Prev; 2014 Jan; 62():238-47. PubMed ID: 24184967
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reductions in injury crashes associated with red light camera enforcement in oxnard, california.
    Retting RA; Kyrychenko SY
    Am J Public Health; 2002 Nov; 92(11):1822-5. PubMed ID: 12406815
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effects of red light camera enforcement on fatal crashes in large U.S. cities.
    Hu W; McCartt AT; Teoh ER
    J Safety Res; 2011 Aug; 42(4):277-82. PubMed ID: 22017830
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The prevalence of speeding and drunk driving in two cities in China: a mid project evaluation of ongoing road safety interventions.
    Bhalla K; Li Q; Duan L; Wang Y; Bishai D; Hyder AA
    Injury; 2013 Dec; 44 Suppl 4():S49-56. PubMed ID: 24377780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Survey about pedestrian safety and attitudes toward automated traffic enforcement in Washington, D.C.
    Cicchino JB; Wells JK; McCartt AT
    Traffic Inj Prev; 2014; 15(4):414-23. PubMed ID: 24471367
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Developing crash modification functions to assess safety effects of adding bike lanes for urban arterials with different roadway and socio-economic characteristics.
    Park J; Abdel-Aty M; Lee J; Lee C
    Accid Anal Prev; 2015 Jan; 74():179-91. PubMed ID: 25463959
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring spatial heterogeneity in factors associated with injury severity in speeding-related crashes: An integrated machine learning and spatial modeling approach.
    Zhang Z; Xu N; Liu J; Jones S
    Accid Anal Prev; 2024 Oct; 206():107697. PubMed ID: 38968864
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Influence of on-network, traffic, signal, demographic, and land use characteristics by area type on red light violation crashes.
    Mane AS; Pulugurtha SS
    Accid Anal Prev; 2018 Nov; 120():101-113. PubMed ID: 30103099
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A systematic approach to macro-level safety assessment and contributing factors analysis considering traffic crashes and violations.
    Wang X; Zhang X; Pei Y
    Accid Anal Prev; 2024 Jan; 194():107323. PubMed ID: 37864889
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Safety analysis of urban arterials at the meso level.
    Li J; Wang X
    Accid Anal Prev; 2017 Nov; 108():100-111. PubMed ID: 28865314
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Macro-level safety analysis of pedestrian crashes in Shanghai, China.
    Wang X; Yang J; Lee C; Ji Z; You S
    Accid Anal Prev; 2016 Nov; 96():12-21. PubMed ID: 27475113
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Investigating the safety impact of roadway network features of suburban arterials in Shanghai.
    Wang X; Yuan J; Schultz GG; Fang S
    Accid Anal Prev; 2018 Apr; 113():137-148. PubMed ID: 29407661
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Safety modeling of suburban arterials in Shanghai, China.
    Wang X; Song Y; Yu R; Schultz GG
    Accid Anal Prev; 2014 Sep; 70():215-24. PubMed ID: 24803169
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Should traffic enforcement be unpredictable? The case of red light cameras in Edmonton.
    Tay R; de Barros A
    Accid Anal Prev; 2011 May; 43(3):955-61. PubMed ID: 21376888
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Impact evaluation of camera enforcement for traffic violations in Cali, Colombia, 2008-2014.
    Martínez-Ruíz DM; Fandiño-Losada A; Ponce de Leon A; Arango-Londoño D; Mateus JC; Jaramillo-Molina C; Bonilla-Escobar FJ; Vivas H; Vanlaar W; Gutiérrez-Martínez MI
    Accid Anal Prev; 2019 Apr; 125():267-274. PubMed ID: 30802777
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling crash severity by considering risk indicators of driver and roadway: A Bayesian network approach.
    Song Y; Kou S; Wang C
    J Safety Res; 2021 Feb; 76():64-72. PubMed ID: 33653570
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effects of turning on and off red light cameras on fatal crashes in large U.S. cities.
    Hu W; Cicchino JB
    J Safety Res; 2017 Jun; 61():141-148. PubMed ID: 28454859
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A before-after full bayes multivariate intervention model to estimate the safety effectiveness of red light cameras.
    Kitali AE; Soto F; Alluri P; Raihan MA
    Traffic Inj Prev; 2021; 22(2):127-132. PubMed ID: 33566695
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.