Behavior of two-wheelers at limited priority uncontrolled T-intersections

Patil, Gopal R.; Sangole, Jayant P

doi:10.1016/j.iatssr.2015.12.002

Cited by 23 publications

(9 citation statements)

References 28 publications

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“…An online survey was first designed using Google Forms [ 22 ]. In this subgroup, the last article described telephone interviews [ 42 ] to identify the context and their shortcomings during the reported events.…”

Section: Taxonomymentioning

confidence: 99%

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

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With the continuous emergence of new technologies and the adaptation of smart systems in transportation, motorcyclist driving behaviour plays an important role in the transition towards intelligent transportation systems (ITS). Studying motorcyclist driving behaviour requires accurate models with accurate and complete datasets for better road safety and traffic management. As accuracy is needed in modelling, motorcyclist driving behaviour analyses can be performed using sensors that collect driving behaviour characteristics during real-time experiments. This review article systematically investigates the literature on motorcyclist driving behaviour to present many findings related to the issues, problems, challenges, and research gaps that have existed over the last 10 years (2011–2021). A number of digital databases (i.e., IEEE Xplore®, ScienceDirect, Scopus, and Web of Science) were searched and explored to collect reliable peer-reviewed articles. Out of the 2214 collected articles, only 174 articles formed the final set of articles used in the analysis of the motorcyclist research area. The filtration process consisted of two stages that were implemented on the collected articles. Inclusion criteria were the core of the first stage of the filtration process keeping articles only if they were a study or review written in English or were articles that mainly incorporated the driving style of motorcyclists. The second phase of the filtration process is based on more rules for article inclusion. The criteria of inclusion for the second phase of filtration examined the deployment of motorcyclist driver behaviour characterisation procedures using a real-time-based data acquisition system (DAS) or a questionnaire. The final number of articles was divided into three main groups: reviews (7/174), experimental studies (41/174), and social studies-based articles (126/174). This taxonomy of the literature was developed to group the literature into articles with similar types of experimental conditions. Recommendation topics are also presented to enable and enhance the pace of the development in this research area. Research gaps are presented by implementing a substantial analysis of the previously proposed methodologies. The analysis mainly identified the gaps in the development of data acquisition systems, model accuracy, and data types incorporated in the proposed models. Finally, research directions towards ITS are provided by exploring key topics necessary in the advancement of this research area.

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Section: Taxonomymentioning

confidence: 99%

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…of attributes; The logit model implies that the error terms (ϵ i,ϵj) in Equations ( 1) and ( 2) are Gumbel distributed. Within this supposition, the logit function provides the likelihood that a randomly chosen driver would consider a distance as Equation (5).…”

Section: ) Binary Logit Model and Its Structurementioning

confidence: 99%

“…Patil and Sangole investigated and modeled twowheeler gap acceptance activity at unsignalized Tintersections using Raff's system, lag method, maximum likelihood method, and logit method. They discovered that the maximum likelihood approach produces the most accurate values [5]. Most of the studies have been modeled the gap acceptance behavior in order to determine the critical gap values.…”

Section: Introductionmentioning

confidence: 99%

Studying Aggressive Clearing Behavior of Drivers at Uncontrolled Intersections Under Mixed Traffic Conditions

Maddu

Dutta

Jena

2021

Preprint

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In this paper gap acceptance model and aggressive clearing model are developed for two uncontrolled 4-legged intersections in the state of Andhra Pradesh, India. Gap duration, type of major and minor road vehicles, speed of major road vehicle and clearing time are the parameters considered in this study which particularly reflects the driver's clearing behaviour. This analysis showed that the probability of accepting a gap increases with increase in gap/lag value and decreases with increase in clearing time. It also decreases with increase in size of major road vehicle but increases with increase in size of minor road vehicle The level of aggressiveness of right turning vehicles increases with decrease in gap/lag and speed of major road vehicles, and it decreases with decrease in clearing time and size of minor road vehicles. Thus, in order to improve safety at uncontrolled intersections, measures such as minimization of side friction, installation of speed breakers on minor roads etc., should be followed which leads to faster movement of major road vehicles and thus lower the aggressiveness of drivers and increases safety.

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“…Sangole et al [16] used an adaptive neuro-fuzzy interface system (ANFIS) approach to model the gap acceptance behavior of two-wheelers at uncontrolled intersections. Patil and Sangole [17] studied the behavior of twowheelers at limited priority uncontrolled T-intersections using various approaches along with logit method. The critical gap values estimated for young drivers was significantly less compared to middle and old age drivers.…”

Section: Literature Reviewmentioning

confidence: 99%

Gap acceptance behavior of drivers at uncontrolled T-intersections under mixed traffic conditions

Dutta

Ahmed

2017

J. Mod. Transport.

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Explicit traffic control measures are absent in uncontrolled intersections which make them susceptible to frequent conflicts and resulting collisions between vehicles. In developing countries like India, drivers at such intersections do not yield to higher priority movements which cause more crashes between vehicles. The objective of this study is to analyze and model the gap acceptance behavior of minor street drivers at uncontrolled T-intersections considering their aggressive nature. Three intersections in the northeast region of India have been selected as the case study area. Preliminary analysis of the data revealed that drivers behave aggressively, not because they have to wait for a long time at the stop line, but because of their lack of respect for traffic rules. Binary logit models are developed for minor road right turning vehicles which show that gap acceptance behavior is influenced by gap duration, clearing time and aggressive nature of drivers. The equations obtained were used to estimate the critical gaps for aggressive and non-aggressive drivers. Critical gaps are also calculated using an existing method called clearing behavior approach. It is also shown that the estimation of critical gap is more realistic if clearing time and aggressive behavior of drivers are considered.

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Behavior of two-wheelers at limited priority uncontrolled T-intersections

Cited by 23 publications

References 28 publications

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Studying Aggressive Clearing Behavior of Drivers at Uncontrolled Intersections Under Mixed Traffic Conditions

Gap acceptance behavior of drivers at uncontrolled T-intersections under mixed traffic conditions

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