146 related articles for article (PubMed ID: 35344798)
1. Estimating mountainous freeway crash rate: Application of a spatial model with three-dimensional (3D) alignment parameters.
Wang J; He S; Zhai X; Wang Z; Fu X
Accid Anal Prev; 2022 Jun; 170():106634. PubMed ID: 35344798
[TBL] [Abstract][Full Text] [Related]
2. Optimizing crash risk models for freeway segments: A focus on the heterogeneous effects of road geometric design features, traffic operation status, and crash units.
Li J; Li C; Zhao X
Accid Anal Prev; 2024 Jun; 205():107665. PubMed ID: 38901161
[TBL] [Abstract][Full Text] [Related]
3. Effects of geometric attributes of horizontal and sag vertical curve combinations on freeway crash frequency.
Wang X; Li S; Li X; Wang Y; Zeng Q
Accid Anal Prev; 2023 Jun; 186():107056. PubMed ID: 37027898
[TBL] [Abstract][Full Text] [Related]
4. Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway.
Ahmed M; Huang H; Abdel-Aty M; Guevara B
Accid Anal Prev; 2011 Jul; 43(4):1581-9. PubMed ID: 21545893
[TBL] [Abstract][Full Text] [Related]
5. Investigating hazardous factors affecting freeway crash injury severity incorporating real-time weather data: Using a Bayesian multinomial logit model with conditional autoregressive priors.
Zhang X; Wen H; Yamamoto T; Zeng Q
J Safety Res; 2021 Feb; 76():248-255. PubMed ID: 33653556
[TBL] [Abstract][Full Text] [Related]
6. Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data.
Wen H; Zhang X; Zeng Q; Lee J; Yuan Q
Int J Environ Res Public Health; 2019 Jan; 16(2):. PubMed ID: 30646580
[TBL] [Abstract][Full Text] [Related]
7. A novel speed model for safety evaluation of freeway alignment in Euclidean 3D space.
Wang X; Pu H; Yao J; Yan Y; Li X; Zeng Z
Traffic Inj Prev; 2019; 20(4):392-399. PubMed ID: 31112395
[No Abstract] [Full Text] [Related]
8. A crash risk identification method for freeway segments with horizontal curvature based on real-time vehicle kinetic response.
Zhang C; He J; King M; Liu Z; Chen Y; Yan X; Xing L; Zhang H
Accid Anal Prev; 2021 Feb; 150():105911. PubMed ID: 33296839
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Modeling correlation and heterogeneity in crash rates by collision types using full bayesian random parameters multivariate Tobit model.
Guo Y; Li Z; Liu P; Wu Y
Accid Anal Prev; 2019 Jul; 128():164-174. PubMed ID: 31048116
[TBL] [Abstract][Full Text] [Related]
12. Freeway single and multi-vehicle crash safety analysis: Influencing factors and hotspots.
Wang X; Feng M
Accid Anal Prev; 2019 Nov; 132():105268. PubMed ID: 31465932
[TBL] [Abstract][Full Text] [Related]
13. Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors.
Zeng Q; Gu W; Zhang X; Wen H; Lee J; Hao W
Accid Anal Prev; 2019 Jun; 127():87-95. PubMed ID: 30844540
[TBL] [Abstract][Full Text] [Related]
14. Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence.
Wen H; Zhang X; Zeng Q; Sze NN
Accid Anal Prev; 2019 Nov; 132():105249. PubMed ID: 31415995
[TBL] [Abstract][Full Text] [Related]
15. A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity.
Zeng Q; Wen H; Huang H; Pei X; Wong SC
Accid Anal Prev; 2017 Feb; 99(Pt A):184-191. PubMed ID: 27914307
[TBL] [Abstract][Full Text] [Related]
16. Interactive risk analysis on crash injury severity at a mountainous freeway with tunnel groups in China.
Huang H; Peng Y; Wang J; Luo Q; Li X
Accid Anal Prev; 2018 Feb; 111():56-62. PubMed ID: 29172045
[TBL] [Abstract][Full Text] [Related]
17. A correlated random parameters tobit model to analyze the safety effects and temporal instability of factors affecting crash rates.
Hou Q; Huo X; Leng J
Accid Anal Prev; 2020 Jan; 134():105326. PubMed ID: 31675667
[TBL] [Abstract][Full Text] [Related]
18. Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis.
Zeng Q; Hao W; Lee J; Chen F
Int J Environ Res Public Health; 2020 Apr; 17(8):. PubMed ID: 32316427
[TBL] [Abstract][Full Text] [Related]
19. Bayesian spatial joint modeling of traffic crashes on an urban road network.
Zeng Q; Huang H
Accid Anal Prev; 2014 Jun; 67():105-12. PubMed ID: 24636872
[TBL] [Abstract][Full Text] [Related]
20. Crash analysis of mountainous freeways with high bridge and tunnel ratios using road scenario-based discretization.
Sun Z; Liu S; Li D; Tang B; Fang S
PLoS One; 2020; 15(8):e0237408. PubMed ID: 32776981
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
