Modelling Gap Acceptance Behavior of Two-Wheelers at Uncontrolled Intersection Using Neuro-Fuzzy

Sangole, Jayant P; Patil, Gopal R.; Patare, Prasad Subhash

doi:10.1016/j.sbspro.2011.08.101

Cited by 25 publications

(13 citation statements)

References 19 publications

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“…Amin and Maurya [15] calculated the critical gap using logit model along with others methods and compared them. 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.…”

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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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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“…Sangole et al [11] used neuro-fuzzy technique to model the gap-acceptance behavior of right turning two wheelers (TWs) at three-legged intersections in India. The variables such as size of lag/gap (in seconds), age of the driver, conflict vehicle type, occupancy were considered in the study.…”

Section: Review Of Literaturementioning

confidence: 99%

Analysis of occupation time of vehicles at urban unsignalized intersections in non-lane-based mixed traffic conditions

Asaithambi

Anuroop

2016

J. Mod. Transport.

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In India, traffic flow on roads is highly mixed in nature with wide variations in the static and dynamic characteristics of vehicles. At unsignalized intersections, vehicles generally do not follow lane discipline and ignore the rules of priority. Drivers generally become more aggressive and tend to cross the uncontrolled intersections without considering the conflicting traffic. All these conditions cause a very complex traffic situation at unsignalized intersections which have a great impact on the capacity and performance of traffic intersections. A new method called additive conflict flow (ACF) method is suitable to determine the capacity of unsignalized intersections in non-lane-based mixed traffic conditions as prevailing in India. Occupation time is the key parameter for ACF method, which is defined as the time spent by a vehicle in the conflict area at the intersection. Data for this study were collected at two three-legged unsignalized intersections (one is uncontrolled and other one is semicontrolled) in Mangalore city, India using video-graphic technique during peak periods on three consecutive week days. The occupation time of vehicles at these intersections were studied and compared. The data on conflicting traffic volume and occupation time by each subject vehicle at the conflict area were extracted from the videos using image processing software. The subject vehicles were divided into three categories: two wheelers, cars, and auto-rickshaws. Mathematical relationships were developed to relate the occupation time of different categories of vehicles with the conflicting flow of vehicles for various movements at both the intersections. It was found that occupation time increases with the increasing conflicting traffic and observed to be higher at the uncontrolled intersection compared to the semicontrolled intersection. The segregated turning movements and the presence of mini roundabout at the semicontrolled intersection reduces the conflicts of vehicular movements, which ultimately reduces the occupation time. The proposed methodology will be useful to determine the occupation time for various movements at unsignalized intersections. The models developed in the study can be used by practitioners and traffic engineers to estimate the capacity of unsignalized intersections in non-lane-based discipline and mixed traffic conditions.

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“…MATLAB is used to develop an Adaptive Neuro-Fuzzy Inference System (ANFIS), which provides an optimization scheme to find the parameters in the fuzzy system that best fit the data. A network-type structure is similar to a neural network [7]. The present study attempt an estimation of critical gap by Raff method and develop a model to estimate possibilities of accepting a given gap or lag based on different traffic and pedestrian attributes using ANFIS.…”

Section: Introductionmentioning

confidence: 99%

Modelling the Crossing Behavior of Pedestrian at Uncontrolled Intersection in Case of Mixed Traffic Using Adaptive Neuro Fuzzy Inference System

Amin¹,

Desai²,

Patel³

2015

JTLE

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 Abstract-Critical gap is the most important parameter associated with gap acceptance study especially in case of delay and capacity estimation. Many studies are reported on gap acceptance behavior of pedestrian but most of them confined to developed country where traffic is homogeneous and traffic rules are strictly followed. Uncontrolled intersections in case of developed countries control the traffic and pedestrian movements based on priorities but in India, no one follows the stop and yield signs, even the rules of zebra crossings. It creates more conflicts and increases delay to both. This paper systematically analyzes the behavior of pedestrian during the gap acceptation at two four legged TWSC intersection located at Ahmedabad in state of Gujarat, India. Data on gap acceptance behavior is obtained by video recording technique and analyzed the various parameters relate to crossing behavior of pedestrian. The critical gaps for pedestrians estimated by raff method and results shows that values of critical gap estimated are as low as 3.20 sec. which is smaller than reported in other studies. An Adaptive Neuro Fuzzy Inference System (ANFIS) has been established to estimate the possibilities of accepting a given gap or lag considering the combinations of different parameters which affects the crossing behaviors of pedestrians. Nine different combinations are considered. However, the age of the pedestrian is found to be most important variable in crossing behavior compared to other.

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Modelling Gap Acceptance Behavior of Two-Wheelers at Uncontrolled Intersection Using Neuro-Fuzzy

Cited by 25 publications

References 19 publications

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

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

Analysis of occupation time of vehicles at urban unsignalized intersections in non-lane-based mixed traffic conditions

Modelling the Crossing Behavior of Pedestrian at Uncontrolled Intersection in Case of Mixed Traffic Using Adaptive Neuro Fuzzy Inference System

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