Flashing yellow arrows for right turn applications: A driving simulator study and static evaluation analysis

Ryan, Alyssa; Casola, Elizabeth; Fitzpatrick, Cole; Knodler, Michael A.

doi:10.1016/j.trf.2019.09.013

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…More specifically, a driving simulator study was conducted using the advanced driving simulator of the Department of Engineering (Roma Tre University). It is useful to highlight that several studies have showed the high potential and reliability of the driving simulation for studying the driver-pedestrian interaction (Chai, Zhao 2016;Bella, Silvestri 2016;Obeid et al 2017;Mollu et al 2018;Ābele et al 2019;Ryan et al 2019). For this aim, driving simulators are ideal tools because allow to conduct studies whose field survey is made impossible by the implicit high risks that the experimenters would be subjected to and the difficulty of ensuring controlled experimentation conditions.…”

Section: Methodsmentioning

confidence: 99%

Vehicle–pedestrian Interactions Into and Outside of Crosswalks: Effects of Driver Assistance Systems

Bella¹,

Silvestri²

2021

Transport

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This study aimed to analyse the driver’s behaviour during the interaction with a pedestrian crossing into and outside the zebra crossing, and evaluate the effectiveness of two kinds of Advanced Driver Assistance System (ADAS) that provided to the driver an auditory alert, and a visual alert to detect the pedestrian. 42 participants joined the experiment conducted using the fixed-base driving simulator of the Department of Engineering (Roma Tre University). They experienced different crossing conditions (legal and illegal) and ADAS conditions (no ADAS, visual warning and auditory warning) in an urban scenario. The parameters Time-To-Arrive (TTA) and Speed Reduction Time (SRT) were obtained from the drivers’ speed profiles in the last 150 m in advance of the conflict point with the pedestrian. Results clearly showed the criticality of illegal crossings. When the pedestrian crossed outside of the crosswalk, the highest number of collision occurred and the ANalysis Of VAriance (ANOVA) returned significant effects on both the dependent variables TTA and SRT, highlighting the higher criticality of the vehicle–pedestrian interaction and the more abrupt yielding manoeuvre. Positive effects (the vehicle–pedestrian interaction was less critical and the yielding manoeuvre was smoother) emerged for both the driver assistance systems, although not statistically significant. Besides, both the driver assistance systems positively affected the behaviour of the average cautious drivers. No significant effects of the warning systems were recorded on the aggressive drivers, which because of their behavioural characteristics ignored the warning alarm. In addition, no significant effects of the warning systems were recorded for the very cautious drivers, which adjusted their behaviour even before the alarm trigger. Finally, the outcomes of the questionnaire submitted to the participants highlighted the clear preference for the auditory warning, probably because of the different physical stimuli that are solicited by the warning signal. The results confirm that adequate pedestrian paths should be planned to avoid jaywalker conditions, which induce the driver to assume critical driving behaviour and provide useful findings of the effectiveness of driver assistance systems for pedestrian detection.

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Section: Methodsmentioning

confidence: 99%

Vehicle–pedestrian Interactions Into and Outside of Crosswalks: Effects of Driver Assistance Systems

Bella¹,

Silvestri²

2021

Transport

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“…With the aim of improving the safety of the interactions between right-turning vehicles and pedestrians, RT FYA indications have been implemented. Studies showed that drivers understand the message of this countermeasure and have a strong comprehension of the meaning of the FYA indication ( 10 , 14 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Right-Turn Flashing Yellow Arrow for Vehicle–Pedestrian Interactions Using a Non-Probabilistic Regression Approach

Nassereddine

Santiago-Chaparro

Noyce

2023

Transportation Research Record: Journal of the Transportation R

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Using video, interactions between right-turning vehicles and pedestrians were documented for sites with a permissive circular green or a flashing yellow arrow (FYA) permissive right-turn indication. Timestamps associated with key vehicle and pedestrian positions were documented and used to calculate three metrics: time for driver to complete right turn (with and without a pedestrian presence) and the time for the pedestrian to arrive at the theoretical conflict point of vehicle–pedestrian interactions. Using timestamp data, multiple non-probabilistic linear regression models were created to describe the relationship between the position of the pedestrian within the crosswalk and the time for a right-turning vehicle maneuver to be completed. Model results implicitly describe the attitude of drivers toward pedestrian presence on the crosswalk. Larger right-turning maneuver completion times are arguably an indicator of greater respect toward pedestrian presence. Given the nature of the model’s output, a pedestrian respect indicator (PRI) based on the value of model parameters is introduced as a potential indicator of the safety of vehicle–pedestrian interactions. PRI values can be computed for individual sites thus allowing its use as a safety indicator. The higher the PRI, the more “respect” toward pedestrians. Proof-of-concept modeling results based on available timestamp data suggest that interactions controlled by a right-turn FYA indication have a higher PRI than interactions controlled by a circular green. An argument is made that PRI values can be potentially used to proactively evaluate the effectiveness of traffic control devices and other safety countermeasures without the need for crash data.

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Guidance-oriented advanced curve speed warning system in a connected vehicle environment

Wang

Zheng

et al. 2020

Accident Analysis & Prevention

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Flashing yellow arrows for right turn applications: A driving simulator study and static evaluation analysis

Cited by 6 publications

References 17 publications

Vehicle–pedestrian Interactions Into and Outside of Crosswalks: Effects of Driver Assistance Systems

Vehicle–pedestrian Interactions Into and Outside of Crosswalks: Effects of Driver Assistance Systems

Evaluating Right-Turn Flashing Yellow Arrow for Vehicle–Pedestrian Interactions Using a Non-Probabilistic Regression Approach

Guidance-oriented advanced curve speed warning system in a connected vehicle environment

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