Effects of peripheral transverse line markings on drivers’ speed and headway choice and crash risk in car-following: A naturalistic observation study

Ding, Naikan; Zhu, Shunying; Jiao, Nisha; Liu, Bing

doi:10.1016/j.aap.2020.105701

Cited by 11 publications

(6 citation statements)

References 23 publications

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“…The results showed that a layout pattern in which a decreasing rate between the spacing intervals is greater in the end section on the SRM-installed lane than in the remaining sections may produce a high risk of rear-end collision. Ding et al ( 9 ) designed the intersection angle and longitudinal spacing of peripheral transverse line markings (PTLMs) and discussed the effect of optical illusions on lane width narrowing, the effect of the edge rate on speed, and the “discontinuity effect” on distance impact.…”

Section: Literature Reviewmentioning

confidence: 99%

Effectiveness Evaluation of Optical Illusion Deceleration Markings for a V-Shaped Undersea Tunnel Based on the Set Pair Analysis Method and the Technique for Order Preference by Similarity to Ideal Solution Theory

Pan

Wang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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To improve traffic safety in undersea tunnels, the speed control effect of optical illusion deceleration markings (OIDMs) in V-shaped undersea tunnels and their applicability to drivers were explored. In this study, UC-Win/Road software was used to build a simulation scenario, and the V-shaped Jiaozhou Bay undersea tunnel in Qingdao, China, was selected as the simulated road section. Four kinds of OIDMs were selected as the research objects. According to the physiological and psychological response characteristics of drivers to the visual recognition process of OIDMs and vehicle driving parameters, three primary and six secondary evaluation indices were identified. The analytic hierarchy process-entropy weight method was applied to assign weights to each evaluation index in combination, and a comprehensive evaluation model based on the set pair analysis method and the technique for order preference by similarity to ideal solution was constructed to comprehensively evaluate the effectiveness of the OIDMs based on the ternary coefficient and the comprehensive evaluation index. To verify the accuracy of the model, the data of the three secondary evaluation indicators with larger weight coefficients were statistically analyzed, and the results showed that the results of the statistical analysis of the data were consistent with the results of the model test. In the entrance section of the tunnel, the combination of white inverted fishbone deceleration markings and red warning pavement has the highest comprehensive evaluation index of γ A1 = 0.9611. In the downhill section of the tunnel, the white variable-spacing inverted fishbone deceleration markings have the highest comprehensive evaluation index, γ B1 = 0.9644.

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Section: Literature Reviewmentioning

confidence: 99%

Effectiveness Evaluation of Optical Illusion Deceleration Markings for a V-Shaped Undersea Tunnel Based on the Set Pair Analysis Method and the Technique for Order Preference by Similarity to Ideal Solution Theory

Pan

Wang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…Usually, the sociodemographic characteristics of drivers, such as age, gender, driving experience, and driving style, are investigated to reveal their association with the occurrence and/or likelihood of crashes in a macroscopic manner [40,41]. Besides, there is also wide agreement that the microscopic behavioral aspects of drivers including cognitive psychological behavior [14,21,24,30,[42][43][44] and driving behaviors [26] are critical influential human factors in crashes. Among them, drivers' cognitive behavior (especially visual perception) is the fundamental one because the other microscopic behaviors without exception originate from the primitive cognition and perception of the environment [44].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Actually, the influence of visual perception on driving behaviors and collision avoidance was originally noticed by some cognitive psychologists, who verified in virtual-reality scenes that the existence of certain visual information (which was termed as "visual cues") on ground surface could lead to drivers' overestimation of speed [42,44,48,62,63], underestimation of distance [44,[64][65][66][67][68][69][70], and untimely and inadequate brake [42,43]. Inspired by those cognitive psychologists, Ding et al [14,21,24,71,72] conducted a series of studies focusing on associating, evaluating, and explaining the effects and mechanism of drivers' speed perception and distance perception on car-following behaviors and crash risk, by introducing and testing several specially designed perceptual markings with on-road experiments and observations. In addition, the inherent connection between speed/distance perception, driving behaviors, and crash risk was comprehensively accounted for by two latent variables, i.e., "speed risk perception (SRP)" and "distance risk perception (DRP)," which differentiated the risk perception originating from variations in speed and distance [14].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Further, previous studies did not particularly differentiate the traffic flow states in analyzing rear-end crashes or crash risk. However, rear-end crashes extensively proved to be closely related to car-following behavior [14,[21][22][23][24][25][26], and car-following is always supposed to be a driving state right before the occurrence of a rear-end crash. erefore, in this regard, the rear-end crashes or crash risk might be misunderstood in the absence of specific car-following behavior and car-following vehicle flow (car-following platoon).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rear-End Crash Risk Analysis considering Drivers’ Visual Perception and Traffic Flow Uncertainty: A Hierarchical Hybrid Bayesian Network Approach

Ding

Jiao

2021

Discrete Dynamics in Nature and Society

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Rear-end crashes or crash risk is widely recognized as safety-critical state of vehicles under comprehensive conditions. This study investigated the association between traffic flow uncertainty, drivers’ visual perception, car-following behavior, roadway and vehicular characteristics, and rear-end crash risk variation and compared the crash risk variation prediction with and without specific flow-level data. Two datasets comprising 5055 individual vehicles in car-following state were collected through on-road experiments on two freeways in China. A hierarchical hybrid BN model approach was proposed to capture the association between drivers’ visual perception, traffic flow uncertainty, and rear-end crash risk variation. Results show that (1) the BN model with flow-level data outperformed the BN model without flow-level data and could predict 85.3% of the cases of crash risk decrease, with a false alarm rate of 21.4%; (2) the hierarchical hybrid BN models showed plausible spatial transferability in predicting crash risk variation; and (3) the incorporation of specific flow-level variables and data greatly benefited the successful identification of rear-end crash risk variations. The findings of this study suggest that rear-end crash risk is inherently associated with both individual driving behaviors and traffic flow uncertainty, and appropriate visual perceptual information could compensate for crash risk and improve safety.

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“…Another indicator for the dominance of visuospatial information in speed perception is the optic flow, which means that humans perceive their own driving speed relative to the speed of the environment (see, e.g., Gibson, 1950 ; Manser & Hancock, 2007 ; Palmisano, 2002 ). Among others, Ding et al ( 2020 ) and Bergh Alvergren et al ( 2019 ) used transverse line markings that move closer and closer together, thus creating the impression of becoming faster to decelerate drivers or cyclists, respectively. Both studies used visual cues in natural driving contexts, leading to lower driving speeds.…”

Section: Introductionmentioning

confidence: 99%

Investigating the influence of visuospatial stimuli on driver’s speed perception: a laboratory study

Köhler,

Klatt,

Koch

et al. 2023

Cogn. Research

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Driving at an inappropriate speed is a major accident cause in the EU. Understanding the underlying sensory mechanisms can help to reduce speed and increase traffic safety. The present study investigated the effect of visuospatial stimuli on speed perception using an adaptive countermeasure to speeding based on a manipulation of optic flow. We added red lights on both sides of a simulated road. We expected speed to be perceived as faster when lights moved toward drivers due to increased optic flow, whereas we expected static light stimuli to not alter the optic flow and thus not influence speed perception. Two experiments applied the method of constant stimuli. To this end, participants encountered several trials of two video sequences on a straight road. A reference sequence showed the same traveling speed while test sequences varied around different traveling speeds. Participants indicated which sequence they perceived as faster, leading to the calculation of the point of subjective equality (PSE). A lower PSE indicates that the speed in this experimental condition is perceived as faster than in another experimental condition. Experiment 1A did not show a difference between PSEs of static and oncoming lights. Because participants had counted reflector posts for speed estimation, we removed these reflector posts in Experiment 1B and found a lower PSE for oncoming lights. Thus, such light stimuli may have an effect only in situations without other competing visual stimuli supporting speed perception. Future research should investigate whether speed perception is indeed a primarily visuospatial control task or whether other sensory information such as auditory factors can have an influence as well.

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Effects of peripheral transverse line markings on drivers’ speed and headway choice and crash risk in car-following: A naturalistic observation study

Cited by 11 publications

References 23 publications

Effectiveness Evaluation of Optical Illusion Deceleration Markings for a V-Shaped Undersea Tunnel Based on the Set Pair Analysis Method and the Technique for Order Preference by Similarity to Ideal Solution Theory

Effectiveness Evaluation of Optical Illusion Deceleration Markings for a V-Shaped Undersea Tunnel Based on the Set Pair Analysis Method and the Technique for Order Preference by Similarity to Ideal Solution Theory

Rear-End Crash Risk Analysis considering Drivers’ Visual Perception and Traffic Flow Uncertainty: A Hierarchical Hybrid Bayesian Network Approach

Investigating the influence of visuospatial stimuli on driver’s speed perception: a laboratory study

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