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

Dutta, Manish; Ahmed, Mokaddes Ali

doi:10.1007/s40534-017-0151-9

Cited by 36 publications

(12 citation statements)

References 14 publications

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“…In this paper some studies which are more closely with study has been included. Time headway distribution is helpful to insight the disaggregate flow of traffic which is very important in capacity and level of service determination [10]. Video graphic data were collected for four road section in Assam city, later data were extracted and analyzed.…”

Section: Review Literaturementioning

confidence: 99%

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Estimation of Critical Gap Using Maximum Likelihood Method at Unsignalized Intersection: A Case Study in Adama City, Ethiopia

Faye¹

2021

IJTET

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Studying Critical gap and headway distribution has vital role in reduction of traffic problems. Critical gap and its distribution are traffic characteristics that are used in determination of capacity, delay and level of service at unsignalized intersection. Many study has been done on critical gap in developed countries under homogeneous traffic and road conditions. This study is aimed to insight available headway distribution and critical gap of driver in urban intersection under heterogeneous traffic condition and weak lane discipline in developing country like Ethiopia. In this paper three unsignalized intersection in Adama city has been selected on the basis of traffic volume and importance of the intersection. The primary data that were used for this study were traffic volume, available headways, waiting time, geometry of road. By using digital Camera, videos data were recorded; later quantitative data were extracted from videos. Two Statistical Packages that were used in analysis of this study. Statistical Package for Social Science Statistic 20 was used to fit best distribution model of headway. Kolmogorov Smirnov and Anderson Darling testing techniques were conducted to check validity of model for headways in different flow ranges. From hypothesized distributions, exponential, gamma, lognormal and normal distributions were selected for different intersection. It has been indicated that, for higher flow rate lognormal distribution model is best fit in estimating cumulative density function of headway. Critical gaps of drivers for three selected intersections were also computed by using maximum likelihood method. Through Comparison of estimated values indicates that, Franko intersection has highest critical gap of 5.17sec.

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Section: Review Literaturementioning

confidence: 99%

“…Where, Fa: empirical distribution of accepted gap Fr: empirical distribution of rejected gap Dutta, M. M. [10] Used maximum likely hood method for estimating critical gaps was based on the Maximum likelihood method (MLM). The MLM is based on the assumption that minor stream drivers behave consistently.…”

Section: Review Literaturementioning

confidence: 99%

Estimation of Critical Gap Using Maximum Likelihood Method at Unsignalized Intersection: A Case Study in Adama City, Ethiopia

Faye¹

2021

IJTET

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“…Bartin [4] developed logit model of gap acceptance and rejectance depending up on the following influencing factors; maneuver type, time of day, time spent waiting for an acceptable gap, average speed, departure zone (i.e., median or minor road departure point), and vehicle classification here are a lot of many methods, which calculate the critical headway, Dutta [6] used that; using binary logistic model they analyzed and develop gap acceptance behavior on minor street at uncontrolled intersections in northwestern India. Critical Gap acceptance were calculated by using maximum likelihood approach by considering influencing factors of gap duration, clearing time, aggressiveness of drivers.…”

Section: Review Literaturementioning

confidence: 99%

Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia

Faye¹

2020

AJTTE

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Introduction: Studying microscopic traffic flow characteristics has vital role in reduction of traffic problems. Gap acceptance and waiting time are traffic characteristics that are used in capacity, delay and level of service at unsignalized intersection. A lot of studies related to gap acceptance and waiting time has been done in developed countries under homogeneous traffic and road conditions. Objectives: This study is aimed to insight gap acceptance and waiting time behavior of merging or crossing vehicles in urban intersection under heterogeneous traffic condition and weak lane discipline in developing country like Ethiopia. Methods: In this paper three unsignalized intersection in Adama city has been selected on the basis of traffic volume and importance of the intersection. The primary data that were used for this study were traffic volume, speed, headway, waiting time, geometry of road, gap accepted and rejected. By using digital Camera, videos data were recorded; later quantitative data were extracted from videos. Two Statistical Packages that were used in analysis of this study. Minitab 19 was used for developing regression models of waiting time and gap acceptance for two maneuver types namely traffic turning to left and turning right from minor road. Result: Dichotomous generalized linear regression model (logit model) has been used to predict gap acceptance probability and validated by Hosmer-Lemeshow testing techniques to identify the goodness of model. The waiting time of drivers to accept and reject available gaps for three selected intersections were about 26sec, 24sec and 20sec. From the developed nonlinear model traffic turning to left moving with average speed 30kmph, average headway of 10sec and minor road traffic volume 2000PCu/Hr, increasing 25% major road traffic volume makes to double waiting time on minor road. Increasing major road traffic volume by 50% makes to quadruple waiting time.

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“…In investigating the need for guidelines with an underlying gap acceptance methodology, it was determined various researchers have measured region-specific gap acceptance parameters. Parameters for permitted leftturn movements are the most well understood (15)(16)(17)(18)(19).…”

Section: Literature Reviewmentioning

confidence: 99%

Queue-Based Guidance for Signalization Consideration at Two and Three-Legged Intersections

Warchol

Rouphail

Vaughan

et al. 2019

Transportation Research Record

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This research collected and analyzed gap acceptance in North Carolina to develop a data-driven method for determining the need for considering additional signalization analysis at intersections with fewer than four legs. This method can be used for movements that merge with or cross two lanes of oncoming traffic. It is intended to provide guidance and support to traffic engineers in their decision-making process. Charts are provided to determine the expected 95th percentile queue lengths for left-turn, right-turn, and U-turn movements crossing or merging with two lanes of conflicting traffic. This situation is typically present along four-lane roadways where a one-way primary movement opposes either a minor road right-turn movement or a left-turn movement, or in the case of a median U-turn opening. Adjustment factors to the conflicting flowrate were developed to account for the presence of upstream signalized intersections. This method less frequently recommends further signal consideration when compared with the Manual on Uniform Traffic Control Devices peak hour warrant, but is similar to the delay-based level of service D/E threshold for two-way stop-controlled intersections in HCM6 Chapter 19.

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

Cited by 36 publications

References 14 publications

Estimation of Critical Gap Using Maximum Likelihood Method at Unsignalized Intersection: A Case Study in Adama City, Ethiopia

Estimation of Critical Gap Using Maximum Likelihood Method at Unsignalized Intersection: A Case Study in Adama City, Ethiopia

Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia

Queue-Based Guidance for Signalization Consideration at Two and Three-Legged Intersections

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