148 related articles for article (PubMed ID: 33529060)
1. Pedestrian Crossing Decisions in Virtual Environments: Behavioral Validity in CAVEs and Head-Mounted Displays.
Schneider S; Maruhn P; Dang NT; Pala P; Cavallo V; Bengler K
Hum Factors; 2022 Nov; 64(7):1210-1226. PubMed ID: 33529060
[TBL] [Abstract][Full Text] [Related]
2. Analysis of Street-Crossing Behavior: Comparing a CAVE Simulator and a Head-Mounted Display among Younger and Older Adults.
Pala P; Cavallo V; Dang NT; Granié MA; Schneider S; Maruhn P; Bengler K
Accid Anal Prev; 2021 Mar; 152():106004. PubMed ID: 33540347
[TBL] [Abstract][Full Text] [Related]
3. Road crossing decisions in real and virtual environments: A comparative study on simulator validity.
Feldstein IT; Dyszak GN
Accid Anal Prev; 2020 Mar; 137():105356. PubMed ID: 32059135
[TBL] [Abstract][Full Text] [Related]
4. Teaching children pedestrian safety in virtual reality via smartphone: a noninferiority randomized clinical trial.
Schwebel DC; Johnston A; McDaniel D; Severson J; He Y; McClure LA
J Pediatr Psychol; 2024 Jun; 49(6):405-412. PubMed ID: 38637283
[TBL] [Abstract][Full Text] [Related]
5. Pedestrians safety perception and crossing behaviors in narrow urban streets: An experimental study using immersive virtual reality technology.
Kwon JH; Kim J; Kim S; Cho GH
Accid Anal Prev; 2022 Sep; 174():106757. PubMed ID: 35714518
[TBL] [Abstract][Full Text] [Related]
6. Analysis of walking speeds and success rates on mid-block crossings using virtual reality simulation.
Figueroa-Medina AM; Valdés-Díaz D; Colucci-Ríos B; Cardona-Rodríguez N; Chamorro-Parejo A
Accid Anal Prev; 2023 Apr; 183():106987. PubMed ID: 36736158
[TBL] [Abstract][Full Text] [Related]
7. Efficacy of virtual reality in pedestrian safety research.
Deb S; Carruth DW; Sween R; Strawderman L; Garrison TM
Appl Ergon; 2017 Nov; 65():449-460. PubMed ID: 28318502
[TBL] [Abstract][Full Text] [Related]
8. An exploratory study of pedestrian crossing speeds at midblock crossing in India using LiDAR.
Vasudevan V; Tiwari A; Chakroborty P
Traffic Inj Prev; 2022; 23(1):61-66. PubMed ID: 35020500
[TBL] [Abstract][Full Text] [Related]
9. Analysis of the Effect of Human-Machine Co-Driving Vehicle on Pedestrian Crossing Speed at Uncontrolled Mid-Block Road Sections: A VR-Based Case Study.
Wang K; Xu L; Jiang H
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742456
[TBL] [Abstract][Full Text] [Related]
10. A comparison of daytime and nighttime pedestrian road-crossing behavior using an immersive virtual environment.
Subramanian LD; O'Neal EE; Mallaro S; Williams B; Sherony R; Plumert JM; Kearney JK
Traffic Inj Prev; 2022; 23(2):97-101. PubMed ID: 35100060
[TBL] [Abstract][Full Text] [Related]
11. Child pedestrian safety training in virtual reality: How quickly do children achieve adult functioning and what individual differences impact learning efficiency?
Schwebel DC; Johnston A; McDaniel D; McClure LA
J Safety Res; 2024 Jun; 89():135-140. PubMed ID: 38858036
[TBL] [Abstract][Full Text] [Related]
12. Harnessing Vehicle-to-Pedestrian (V2P) Communication Technology: Sending Traffic Warnings to Texting Pedestrians.
Rahimian P; O'Neal EE; Zhou S; Plumert JM; Kearney JK
Hum Factors; 2018 Sep; 60(6):833-843. PubMed ID: 29920115
[TBL] [Abstract][Full Text] [Related]
13. Modelling the pedestrian dilemma zone at uncontrolled midblock sections.
Pawar DS; Yadav AK
J Safety Res; 2022 Feb; 80():87-96. PubMed ID: 35249631
[TBL] [Abstract][Full Text] [Related]
14. Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrian' crossing behavior.
Lee YM; Madigan R; Uzondu C; Garcia J; Romano R; Markkula G; Merat N
J Safety Res; 2022 Feb; 80():270-280. PubMed ID: 35249607
[TBL] [Abstract][Full Text] [Related]
15. Coupling intention and actions of vehicle-pedestrian interaction: A virtual reality experiment study.
Dang M; Jin Y; Hang P; Crosato L; Sun Y; Wei C
Accid Anal Prev; 2024 Aug; 203():107639. PubMed ID: 38763064
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of pedestrian critical gap and crossing speed at midblock crossing using image processing.
Alver Y; Onelcin P; Cicekli A; Abdel-Aty M
Accid Anal Prev; 2021 Jun; 156():106127. PubMed ID: 33865175
[TBL] [Abstract][Full Text] [Related]
17. Roles of individual differences and traffic environment factors on children's street-crossing behaviour in a VR environment.
Wang H; Gao Z; Shen T; Li F; Xu J; Schwebel DC
Inj Prev; 2020 Oct; 26(5):417-423. PubMed ID: 31473596
[TBL] [Abstract][Full Text] [Related]
18. Creating pedestrian crash scenarios in a driving simulator environment.
Chrysler ST; Ahmad O; Schwarz CW
Traffic Inj Prev; 2015; 16 Suppl 1():S12-7. PubMed ID: 26027964
[TBL] [Abstract][Full Text] [Related]
19. Modeling pedestrian gap crossing index under mixed traffic condition.
Naser MM; Zulkiple A; Al Bargi WA; Khalifa NA; Daniel BD
J Safety Res; 2017 Dec; 63():91-98. PubMed ID: 29203029
[TBL] [Abstract][Full Text] [Related]
20. Pedestrian temporal and spatial gap acceptance at mid-block street crossing in developing world.
Pawar DS; Patil GR
J Safety Res; 2015 Feb; 52():39-46. PubMed ID: 25662881
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
