Analyzing driver's response to the yellow onset at signalized intersections

Chahine, Ricardo; Srour, F. Jordan; Sánchez‐Ruiz, María‐José; Younes, Gaelle Abi; Khoury, John El

doi:10.1016/j.trf.2022.03.016

Cited by 6 publications

(3 citation statements)

References 69 publications

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“…A crash only needs a brief moment of distraction to happen, but with mindful driving, more focus can be achieved leading to a safer driving environment. Reynaud and Navarro (2019), Koppel et al (2018) and Chahine et al, (2022) reinforce this position as people who practice mindfulness exhibit safer driving behavior leading to less crashes. As shown in the following boxplots, the drivers are clustered depending on their score on the scale and with respect to the mean of that scale.…”

Section: Stopping Differencementioning

confidence: 88%

“…For example, the perception of the environmental factors or even the anticipation of hazards on the road might not be the only contributor to differences in drivers' speed. In fact, personality traits and risk-taking behavior might also have an influence (Parmet et al, 2015 andChahine et al, 2022). Hence, one's personality could potentially affect any susceptible violation concerning speed limits on the roads.…”

Section: Psychological Aspectmentioning

confidence: 99%

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Safe mobility. (c2022)

Mendelek¹

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Transportation safety continues to be an important issue that we face daily as it results in enormous losses to human life and to the economy. This research targets safe mobility at intersections in an urban setting by analyzing drivers’ behavior at the stop bar during the red-light phases. The latter analysis focuses on drivers’ psychological and demographic attributes. Drivers are exposed to various scenarios and triggers using a state-of-the-art driving simulator. Three main scenarios are utilized to test drivers’ responses, which include pedestrians crossing the crosswalk, police enforcement personnel and adjacent driver encroaching on the stop bar promoting the imitation behavior. A survey assessing demographics and individual traits such as impulsivity, impatience, mindfulness and driving rituals is used to complement the driving simulator experience for a total of 178 participants. Real life observations and monitoring at intersections are conducted to confirm drivers’ behaviors with respect to stopping at the stop bar in the presence of various triggers. Younger males with a history of at least one severe accident are more likely to be exhibit aggressive behavior such as speeding and committing violations. Participants scoring high on the Attitudes Towards Traffic Safety and Driving Behavior Survey scales are safer drivers who show more concern about traffic laws. High scores on mindfulness and agreeableness (Big Five Personality Inventory) are associated with less violations whereas extraversion and neuroticism are linked with impulsivity and frustration thus leading to higher acceleration rates and speeding. Symptoms of depression reduce a person’s capacity to maintain attention. Thus, it is highly effective to enhance mindfulness and stress management in addition to driving risk-awareness and focus on improving the existing driving education system.

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Section: Stopping Differencementioning

confidence: 88%

Section: Psychological Aspectmentioning

confidence: 99%

Safe mobility. (c2022)

Mendelek¹

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“…Moreover, the MAAS has been translated and validated in many countries (e.g.Jermann et al, 2009 for French; Johnson et al, 2013 for Spanish; Rayan & Ahmad, 2016 for Arabic). Recently, the MAAS has shown high internal consistency in a Lebanese sample of drivers (α = 0.78,Chahine et. Al, 2022).…”

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confidence: 99%

Analyzing Drivers’ Passing Decision on Two-Lane Two-Way Highways. (c2022)

Sabek¹

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Passing maneuvers on rural two-lane highways have significant implications on safety, highway performance, and traffic operations. This research seeks to better understand drivers’ passing behavior by examining the interplay between drivers’ psychological traits and traffic variables influencing this decision. A driving simulator session followed by a self-report questionnaire were used to understand drivers’ decision to pass a lead vehicle or continue following it. A total of 160 licensed drivers were exposed to four randomized passing situations associated with different levels of risk. The lead vehicle was set to be a truck in all four scenarios, but its speed and the passing gap size were altered. The full-scale driving simulator captured observed driving behavior through performance metrics such as speed, lateral deviation, and travelled distance. The demographics and psychological factors including impulsiveness, mindfulness, and depression were collected through the self-report questionnaire. Results revealed that, irrespective of the passing situation and risk involved, the propensity to overtake lead vehicles is associated with lower attitude towards rule violations and speeding. With riskier overtaking situations, effects of impulsiveness and mindfulness become more significant. Concerning a driver’s current state and feeling, motorists who have been depressed lately are more likely to perform overtaking in specific situations. Such findings can be incorporated to enhance driving educational campaigns and curricula aiming to promote safe mobility and lessen the social and economic burdens of high-impact crashes.

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A Deep Learning Approach for the Intersection Congestion Prediction Problem

Melhem

Harmanani

2023

Advances in Intelligent Systems and Computing

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Analyzing driver's response to the yellow onset at signalized intersections

Cited by 6 publications

References 69 publications

Safe mobility. (c2022)

Safe mobility. (c2022)

Analyzing Drivers’ Passing Decision on Two-Lane Two-Way Highways. (c2022)

A Deep Learning Approach for the Intersection Congestion Prediction Problem

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