Identifying Significant Variables Influencing Overtaking Maneuvers on Two-lane, Two-way Rural Roads in Iran

Kashani, Ali Tavakoli; Ayazi, Ehsan; Ravasani, Mahdi Sokouni

doi:10.3311/pptr.8523

Cited by 8 publications

(6 citation statements)

References 17 publications

(21 reference statements)

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“…The questionnaire consisted of two parts; the first part contained questions related to demographic questions like gender, age, education, driving experience and occupation, whereas the second part consisted of questions related to both the independent and dependent variables containing the items adapted from Manchester Driver Behavior Questionnaire (Khoso et al, 2011). The same questionnaire was used by other researchers, including Sucha et al (2014) andTavakoli et al (2016).…”

Section: Methodsmentioning

confidence: 99%

Analysing the Role of Driver Behaviors in Road Traffic Accidents: An Application of Machine Learning

Mahmood,

Bashir,

Rehman

et al. 2024

IJMS

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Continuous innovations are taking place worldwide to develop solutions for problems encountered by human beings. The preventionof a variety of accidents due to burning, drowning, terrorism, electric shocks, and road traffic is among the important concerns ofresearchers and solution developers. Specifically, this current study aims to analyse the contributions of different driver behaviours that resulted in road accidents, followed by proposing a viable solution and reducing the road accident frequencies to benefit society at large. This study employed two methods to analyse data. One was through SEM, and the second was through Artificial Neural Network (ANN). The study is descriptive in nature and it used the survey method to collect sample data from 345 drivers from various professional backgrounds. The questionnaire consisted of independent variables, namely slips, errors, mistakes, lapse violations and unintentional violations. To measure the contributions of these variables towards accidents, age was taken as the moderator. The statistical techniques used included reliability, correlation, and normality analyses, in addition to artificial neural networks and regression analyses. Each factor was found to be a significant contributor to road accidents. Moreover, no significant difference was found in drivers’ behaviour between males and females, but age was found to have a moderating effect on the relationship between driver behaviours and accidents. Additionally, the rate of accidents decreases with the increases in age and vice versa.

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Section: Methodsmentioning

confidence: 99%

Analysing the Role of Driver Behaviors in Road Traffic Accidents: An Application of Machine Learning

Mahmood,

Bashir,

Rehman

et al. 2024

IJMS

View full text Add to dashboard Cite

show abstract

“…In addition to studies conducted in the UK, the DBQ has been used in several international studies, for example, Sweden (32), New Zealand (33), Greece (34), Turkey (35), China (36), Australia (37), Countries of the Arabic golf (38), France (39), Czech Republic (40), Iran (41), and Italy (42). For instance, in the Australian DBQ, Davey et al (37) proposed a modified version of the DBQ consisting of 20 items; all lapse items were omitted because previous research has indicated that this factor is not associated with the occurrence of accidents.…”

Section: Related Workmentioning

confidence: 99%

Aberrant Driving Behavior and Accident Involvement: Morocco Case Study

Rachad

hafidy

Idri

2022

Transportation Research Record: Journal of the Transportation R

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Every year, many lives are lost around the world owing to road accidents that are caused in most cases by irresponsible driving behavior. Thus, the main goal of this study was to provide an overview of aberrant driving behavior and its relation to the occurrence of accidents in Morocco. The study was conducted through a survey based on the most used version of the Driver Behavior Questionnaire (DBQ). The adopted DBQ structure was validated using exploratory factor analysis. Subsequently, several regressions were applied to the collected data to discover the factors that influence driver behavior, leading to the occurrence of accidents. We conclude that relatively young age, low educational level, and lack of driving experience are the main features that characterize all types of aberrant driving behavior. In addition, we found that, except for lapses, all other types of aberrant driving behavior contribute to the occurrence of accidents, and we have found that accidents are closely related to driving experience and slightly related to concentration while driving. These results can be exploited in the development of intervention frameworks to improve driving behavior.

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“…Overtaking represents one of the most serious causes of two-lane two-way rural roads injuries and fatalities; due to its nature, it involves a risk of a head-on collision with oncoming traffic, and therefore it has a direct impact on safety. Previous studies showed that the accident severity resulting from this type of manoeuvre is significantly higher than that of other accident types on two-lane two-way rural roads [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A Combined Simulation Approach to Evaluate Overtaking Behaviour on Two-Lane Two-Way Rural Roads

Branzi

Meocci

Domenichini

et al. 2021

Journal of Advanced Transportation

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A significant percentage of road fatalities and injuries occur in the nonmotorway rural road network. One of the main causes of accidents on these roads is represented by overtaking, as, by its nature, it involves a risk of a head-on collision with oncoming traffic. The paper describes a combined simulation approach (driving simulator and traffic microsimulation) designed to examine the influence of different traffic conditions on passing manoeuvres on two-lane two-way rural roads. The main focus was the evaluation of the end of the passing manoeuvre because it reflects the risk of a head-on collision. In addition, the study aimed to assess the usefulness of the proposed combined approach in the ability to proactively and quickly diagnose traffic safety problems and consequently to evaluate appropriate solutions. The data collected with an interactive driving simulator on a sample of 54 participants have been used to adjust some input data of the traffic microsimulation software. A specific situation consisting of a stationary heavy vehicle obstructing the entire lane was repeated in both experiments. The analyses focused on time-to-collision (TTC), defined as the remaining gap between the passing vehicle and the oncoming vehicle at the end of the passing manoeuvre. The results showed that the type of manoeuvre performed is significantly influenced by the traffic condition. Furthermore, the manoeuvre is influenced by the gap between two successive vehicles in the opposite lanes. Focusing on the end of the manoeuvre, it was found how a traffic increase leads to a significant reduction of the TTC values. Furthermore, the comparative analysis conducted between the data recorded following the combined approach and those obtained using exclusively the input data of the microsimulation software supports the usefulness of the proposed methodology for conducting road safety analyses, especially in complex traffic environments where drivers’ behaviour plays a decisive role.

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Identifying Significant Variables Influencing Overtaking Maneuvers on Two-lane, Two-way Rural Roads in Iran

Abstract: Abstract

Cited by 8 publications

References 17 publications

Analysing the Role of Driver Behaviors in Road Traffic Accidents: An Application of Machine Learning

Analysing the Role of Driver Behaviors in Road Traffic Accidents: An Application of Machine Learning

Aberrant Driving Behavior and Accident Involvement: Morocco Case Study

A Combined Simulation Approach to Evaluate Overtaking Behaviour on Two-Lane Two-Way Rural Roads

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