172 related articles for article (PubMed ID: 28886141)
1. The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation.
Wang J; Kong Y; Fu T; Stipancic J
PLoS One; 2017; 12(9):e0184564. PubMed ID: 28886141
[TBL] [Abstract][Full Text] [Related]
2. Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience.
Wang J; Kong Y; Fu T
Accid Anal Prev; 2019 Mar; 124():180-192. PubMed ID: 30660834
[TBL] [Abstract][Full Text] [Related]
3. Is vehicle automation enough to prevent crashes? Role of traffic operations in automated driving environments for traffic safety.
Jeong E; Oh C; Lee S
Accid Anal Prev; 2017 Jul; 104():115-124. PubMed ID: 28499140
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of the impacts of traffic states on crash risks on freeways.
Xu C; Liu P; Wang W; Li Z
Accid Anal Prev; 2012 Jul; 47():162-71. PubMed ID: 22405245
[TBL] [Abstract][Full Text] [Related]
5. Road safety from the perspective of driver gender and age as related to the injury crash frequency and road scenario.
Russo F; Biancardo SA; Dell'Acqua G
Traffic Inj Prev; 2014; 15(1):25-33. PubMed ID: 24279963
[TBL] [Abstract][Full Text] [Related]
6. Impact of traffic states on freeway crash involvement rates.
Yeo H; Jang K; Skabardonis A; Kang S
Accid Anal Prev; 2013 Jan; 50():713-23. PubMed ID: 22795398
[TBL] [Abstract][Full Text] [Related]
7. A tree-structured crash surrogate measure for freeways.
Kuang Y; Qu X; Wang S
Accid Anal Prev; 2015 Apr; 77():137-48. PubMed ID: 25710638
[TBL] [Abstract][Full Text] [Related]
8. Surrogate safety measure for evaluating rear-end collision risk related to kinematic waves near freeway recurrent bottlenecks.
Li Z; Ahn S; Chung K; Ragland DR; Wang W; Yu JW
Accid Anal Prev; 2014 Mar; 64():52-61. PubMed ID: 24316507
[TBL] [Abstract][Full Text] [Related]
9. A freeway vehicle early warning method based on risk map: Enhancing traffic safety through global perspective characterization of driving risk.
Cui C; An B; Li L; Qu X; Manda H; Ran B
Accid Anal Prev; 2024 Aug; 203():107611. PubMed ID: 38733809
[TBL] [Abstract][Full Text] [Related]
10. Development of a lane change risk index using vehicle trajectory data.
Park H; Oh C; Moon J; Kim S
Accid Anal Prev; 2018 Jan; 110():1-8. PubMed ID: 29078072
[TBL] [Abstract][Full Text] [Related]
11. Network-constrained spatio-temporal clustering analysis of traffic collisions in Jianghan District of Wuhan, China.
Fan Y; Zhu X; She B; Guo W; Guo T
PLoS One; 2018; 13(4):e0195093. PubMed ID: 29672551
[TBL] [Abstract][Full Text] [Related]
12. LAVIA--an evaluation of the potential safety benefits of the French intelligent speed adaptation project.
Driscoll R; Page Y; Lassarre S; Ehrlich J
Annu Proc Assoc Adv Automot Med; 2007; 51():485-505. PubMed ID: 18184509
[TBL] [Abstract][Full Text] [Related]
13. Predicting the effect of various ISA penetration grades on pedestrian safety by simulation.
Ma X; Andréasson I
Accid Anal Prev; 2005 Nov; 37(6):1162-9. PubMed ID: 16061189
[TBL] [Abstract][Full Text] [Related]
14. Development of a real-time crash risk prediction model incorporating the various crash mechanisms across different traffic states.
Xu C; Wang W; Liu P; Zhang F
Traffic Inj Prev; 2015; 16(1):28-35. PubMed ID: 24697528
[TBL] [Abstract][Full Text] [Related]
15. Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways.
Li Y; Li Z; Wang H; Wang W; Xing L
Accid Anal Prev; 2017 Jul; 104():137-145. PubMed ID: 28500990
[TBL] [Abstract][Full Text] [Related]
16. 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
[TBL] [Abstract][Full Text] [Related]
17. Optimal jam-absorption driving strategy for mitigating rear-end collision risks with oscillations on freeway straight segments.
Zheng Y; Zhang G; Li Y; Li Z
Accid Anal Prev; 2020 Feb; 135():105367. PubMed ID: 31813474
[TBL] [Abstract][Full Text] [Related]
18. In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areas.
Weng J; Xue S; Yang Y; Yan X; Qu X
Accid Anal Prev; 2015 Apr; 77():51-61. PubMed ID: 25687332
[TBL] [Abstract][Full Text] [Related]
19. Pre-crash scenarios at road junctions: A clustering method for car crash data.
Nitsche P; Thomas P; Stuetz R; Welsh R
Accid Anal Prev; 2017 Oct; 107():137-151. PubMed ID: 28841448
[TBL] [Abstract][Full Text] [Related]
20. Comparison of proposed countermeasures for dilemma zone at signalized intersections based on cellular automata simulations.
Wu Y; Abdel-Aty M; Ding Y; Jia B; Shi Q; Yan X
Accid Anal Prev; 2018 Jul; 116():69-78. PubMed ID: 28911878
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
