285 related articles for article (PubMed ID: 26760688)
1. A Bayesian ridge regression analysis of congestion's impact on urban expressway safety.
Shi Q; Abdel-Aty M; Lee J
Accid Anal Prev; 2016 Mar; 88():124-37. PubMed ID: 26760688
[TBL] [Abstract][Full Text] [Related]
2. Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach.
Yu R; Wang X; Yang K; Abdel-Aty M
Accid Anal Prev; 2016 Oct; 95(Pt B):495-502. PubMed ID: 26847949
[TBL] [Abstract][Full Text] [Related]
3. Multi-level Bayesian safety analysis with unprocessed Automatic Vehicle Identification data for an urban expressway.
Shi Q; Abdel-Aty M; Yu R
Accid Anal Prev; 2016 Mar; 88():68-76. PubMed ID: 26722989
[TBL] [Abstract][Full Text] [Related]
4. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data.
Yu R; Abdel-Aty M
Accid Anal Prev; 2014 Jan; 62():161-7. PubMed ID: 24172082
[TBL] [Abstract][Full Text] [Related]
5. Multi-level Bayesian analyses for single- and multi-vehicle freeway crashes.
Yu R; Abdel-Aty M
Accid Anal Prev; 2013 Sep; 58():97-105. PubMed ID: 23727550
[TBL] [Abstract][Full Text] [Related]
6. Investigating the different characteristics of weekday and weekend crashes.
Yu R; Abdel-Aty M
J Safety Res; 2013 Sep; 46():91-7. PubMed ID: 23932690
[TBL] [Abstract][Full Text] [Related]
7. Impact of data aggregation approaches on the relationships between operating speed and traffic safety.
Yu R; Quddus M; Wang X; Yang K
Accid Anal Prev; 2018 Nov; 120():304-310. PubMed ID: 30195137
[TBL] [Abstract][Full Text] [Related]
8. Analysis of safety factors for urban expressways considering the effect of congestion in Shanghai, China.
Sun J; Li T; Li F; Chen F
Accid Anal Prev; 2016 Oct; 95(Pt B):503-511. PubMed ID: 26721569
[TBL] [Abstract][Full Text] [Related]
9. Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level.
Lee J; Abdel-Aty M; Jiang X
Accid Anal Prev; 2015 May; 78():146-154. PubMed ID: 25790973
[TBL] [Abstract][Full Text] [Related]
10. Multivariate random-parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersections.
Dong C; Clarke DB; Yan X; Khattak A; Huang B
Accid Anal Prev; 2014 Sep; 70():320-9. PubMed ID: 24841002
[TBL] [Abstract][Full Text] [Related]
11. Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations.
Chen C; Zhang G; Tian Z; Bogus SM; Yang Y
Accid Anal Prev; 2015 Dec; 85():186-98. PubMed ID: 26454045
[TBL] [Abstract][Full Text] [Related]
12. A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments.
Zeng Q; Wen H; Huang H; Abdel-Aty M
Accid Anal Prev; 2017 Mar; 100():37-43. PubMed ID: 28088033
[TBL] [Abstract][Full Text] [Related]
13. Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach.
Xu P; Huang H; Dong N; Wong SC
Accid Anal Prev; 2017 Jan; 98():330-337. PubMed ID: 27816012
[TBL] [Abstract][Full Text] [Related]
14. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence.
Miaou SP; Song JJ
Accid Anal Prev; 2005 Jul; 37(4):699-720. PubMed ID: 15949462
[TBL] [Abstract][Full Text] [Related]
15. Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways.
Wang K; Ivan JN; Ravishanker N; Jackson E
Accid Anal Prev; 2017 Feb; 99(Pt A):6-19. PubMed ID: 27846421
[TBL] [Abstract][Full Text] [Related]
16. Understanding crash mechanism on urban expressways using high-resolution traffic data.
Hossain M; Muromachi Y
Accid Anal Prev; 2013 Aug; 57():17-29. PubMed ID: 23628939
[TBL] [Abstract][Full Text] [Related]
17. Predicting crash frequency for multi-vehicle collision types using multivariate Poisson-lognormal spatial model: A comparative analysis.
Hosseinpour M; Sahebi S; Zamzuri ZH; Yahaya AS; Ismail N
Accid Anal Prev; 2018 Sep; 118():277-288. PubMed ID: 29861069
[TBL] [Abstract][Full Text] [Related]
18. Application of Poisson random effect models for highway network screening.
Jiang X; Abdel-Aty M; Alamili S
Accid Anal Prev; 2014 Feb; 63():74-82. PubMed ID: 24269863
[TBL] [Abstract][Full Text] [Related]
19. Predicting expressway crash frequency using a random effect negative binomial model: A case study in China.
Ma Z; Zhang H; Chien SI; Wang J; Dong C
Accid Anal Prev; 2017 Jan; 98():214-222. PubMed ID: 27764690
[TBL] [Abstract][Full Text] [Related]
20. Assessment of safety effects for widening urban roadways in developing crash modification functions using nonlinearizing link functions.
Park J; Abdel-Aty M; Wang JH; Lee C
Accid Anal Prev; 2015 Jun; 79():80-7. PubMed ID: 25813762
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
