234 related articles for article (PubMed ID: 31381442)
1. Residual road departure crashes after full deployment of LDW and LDP systems.
Riexinger LE; Sherony R; Gabler HC
Traffic Inj Prev; 2019; 20(sup1):S177-S181. PubMed ID: 31381442
[No Abstract] [Full Text] [Related]
2. Comparison of Expected Crash and Injury Reduction from Production Forward Collision and Lane Departure Warning Systems.
Kusano KD; Gabler HC
Traffic Inj Prev; 2015; 16 Suppl 2():S109-14. PubMed ID: 26436219
[TBL] [Abstract][Full Text] [Related]
3. Potential occupant injury reduction in the U.S. vehicle fleet for lane departure warning-equipped vehicles in single-vehicle crashes.
Kusano K; Gorman TI; Sherony R; Gabler HC
Traffic Inj Prev; 2014; 15 Suppl 1():S157-64. PubMed ID: 25307382
[TBL] [Abstract][Full Text] [Related]
4. Expansion of NASS/CDS for characterizing run-off-road crashes.
Riexinger LE; Gabler HC
Traffic Inj Prev; 2020 Oct; 21(sup1):S118-S122. PubMed ID: 32804541
[TBL] [Abstract][Full Text] [Related]
5. Effects of lane departure warning on police-reported crash rates.
Cicchino JB
J Safety Res; 2018 Sep; 66():61-70. PubMed ID: 30121111
[TBL] [Abstract][Full Text] [Related]
6. The safety potential of lane departure warning systems-A descriptive real-world study of fatal lane departure passenger car crashes in Sweden.
Sternlund S
Traffic Inj Prev; 2017 May; 18(sup1):S18-S23. PubMed ID: 28394639
[TBL] [Abstract][Full Text] [Related]
7. The safety potential of enhanced lateral vehicle positioning.
Sternlund S
Traffic Inj Prev; 2021; 22(2):139-146. PubMed ID: 33556264
[TBL] [Abstract][Full Text] [Related]
8. The effectiveness of lane departure warning systems-A reduction in real-world passenger car injury crashes.
Sternlund S; Strandroth J; Rizzi M; Lie A; Tingvall C
Traffic Inj Prev; 2017 Feb; 18(2):225-229. PubMed ID: 27624313
[TBL] [Abstract][Full Text] [Related]
9. Comprehensive target populations for current active safety systems using national crash databases.
Kusano KD; Gabler HC
Traffic Inj Prev; 2014; 15(7):753-61. PubMed ID: 24433115
[TBL] [Abstract][Full Text] [Related]
10. Prevalence of driver physical factors leading to unintentional lane departure crashes.
Cicchino JB; Zuby DS
Traffic Inj Prev; 2017 Jul; 18(5):481-487. PubMed ID: 27740863
[TBL] [Abstract][Full Text] [Related]
11. The effectiveness of centerline rumble strips (CLRS) on two-lane carriageways in Sweden on injury accident risk for cars equipped with electronic stability control (ESC) and cars without ESC.
Sternlund S
Traffic Inj Prev; 2019; 20(8):880-885. PubMed ID: 31710510
[No Abstract] [Full Text] [Related]
12. Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data Recorders.
Scanlon JM; Kusano KD; Gabler HC
Traffic Inj Prev; 2015; 16 Suppl 2():S182-9. PubMed ID: 26436230
[TBL] [Abstract][Full Text] [Related]
13. Exploring relationships between observed activation rates and functional attributes of lane departure prevention.
Reagan IJ; Cicchino JB; Montalbano CJ
Traffic Inj Prev; 2019; 20(4):424-430. PubMed ID: 31074631
[No Abstract] [Full Text] [Related]
14. Field effectiveness evaluation of advanced driver assistance systems.
Spicer R; Vahabaghaie A; Bahouth G; Drees L; Martinez von Bülow R; Baur P
Traffic Inj Prev; 2018; 19(sup2):S91-S95. PubMed ID: 30543454
[TBL] [Abstract][Full Text] [Related]
15. Crash avoidance potential of four large truck technologies.
Jermakian JS
Accid Anal Prev; 2012 Nov; 49():338-46. PubMed ID: 22763402
[TBL] [Abstract][Full Text] [Related]
16. Toyota drivers' experiences with Dynamic Radar Cruise Control, Pre-Collision System, and Lane-Keeping Assist.
Eichelberger AH; McCartt AT
J Safety Res; 2016 Feb; 56():67-73. PubMed ID: 26875167
[TBL] [Abstract][Full Text] [Related]
17. Volvo drivers' experiences with advanced crash avoidance and related technologies.
Eichelberger AH; McCartt AT
Traffic Inj Prev; 2014; 15(2):187-95. PubMed ID: 24345022
[TBL] [Abstract][Full Text] [Related]
18. An insight into the performance of road barriers - redistribution of barrier-relevant crashes.
Zou Y; Tarko AP
Accid Anal Prev; 2016 Nov; 96():152-161. PubMed ID: 27529451
[TBL] [Abstract][Full Text] [Related]
19. Multi-agent traffic simulations to estimate the impact of automated technologies on safety.
Kitajima S; Shimono K; Tajima J; Antona-Makoshi J; Uchida N
Traffic Inj Prev; 2019; 20(sup1):S58-S64. PubMed ID: 31381431
[No Abstract] [Full Text] [Related]
20. Investigation of injury severities in single-vehicle crashes in North Carolina using mixed logit models.
Roque C; Jalayer M; Hasan AS
J Safety Res; 2021 Jun; 77():161-169. PubMed ID: 34092306
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
