Effect of operational attributes on lateral merging position characteristics at mid-block median opening

Khan, Tathagatha; Mohapatra, Smruti Sourava

doi:10.1080/19427867.2019.1710037

Cited by 7 publications

(6 citation statements)

References 26 publications

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“…For 3W, LCV, and HV, three variables were considered: vehicle's loading condition (empty/ loaded), SD, and MT. In this study, color of number plate was considered as a dummy variable because, in India, vehicles with a white number plate are considered as personal vehicles and vehicles with a yellow number plate are considered as commercial vehicles (10). The drivers driving personal vehicles are not professional drivers, and their age and gender vary significantly.…”

Section: Critical Gap Estimation Using Binary Logit Model (Blm) Methodsmentioning

confidence: 99%

“…However, drivers driving commercial vehicles are professional drivers who are generally middle-aged males. The study team in a previous study found driving behavior changes significantly depending on the color of the number plate of a vehicle (10). Therefore, color of number plate was considered as a variable in developing the BLM model.…”

Section: Critical Gap Estimation Using Binary Logit Model (Blm) Methodsmentioning

confidence: 99%

“…Generally, in developed countries such as the United States and Canada, these uncontrolled MBMOs are controlled by stop or yield signs for giving priority to various movements. (8)(9)(10). But in India, different types of vehicles (two-wheelers [2W], three-wheelers [3W], cars, buses, slow-moving vehicles, and pedestrians) use the same road section simultaneously without any physical separation.…”

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confidence: 99%

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Comparative Appraisal of Critical Gap Estimation Techniques in the Context of U-turning Vehicles

Khan

Vivek

Mohapatra

2021

Transportation Research Record

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Critical gap is a crucial factor for capacity estimation and safety evaluation at uncontrolled mid-block median openings (MBMOs). The U-turning vehicle makes a U-turn when a sufficient gap between two fast-moving vehicles is available in the approaching through traffic (ATT) stream. Even though, worldwide, temporal gaps are extensively used, the spatial gap is an important parameter that significantly affects minor street vehicles’ safety (U-turning vehicles in this study). The present research, undertaken in India, focuses on estimating the temporal and spatial critical gap of U-turning vehicles at uncontrolled MBMOs. The collected data were analyzed for six different types of U-turning vehicles at varying approaching through traffic volume (ATTV). For critical gap estimation, four different critical gap estimation techniques, namely, modified Raff method (MRM), Ashworth method, binary logit model (BLM) method, and occupancy time (OT) method were employed, separately. From the analysis, temporal and spatial critical gaps were observed to vary between different types of vehicle, and it was also observed to vary with ATTV. The critical gap values of this study were found to be smaller than the critical values reported in developed countries, signifying the aggressive driving nature of drivers in developing countries. A detailed appraisal of the different critical gap estimation methods has been carried out. From this analysis, the OT method was found to provide the closest critical gap values with the published literature compared with other methods. Lastly, the findings from the present study will be useful for capacity estimation and safety evaluation at MBMO.

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Section: Critical Gap Estimation Using Binary Logit Model (Blm) Methodsmentioning

confidence: 99%

Section: Critical Gap Estimation Using Binary Logit Model (Blm) Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Comparative Appraisal of Critical Gap Estimation Techniques in the Context of U-turning Vehicles

Khan

Vivek

Mohapatra

2021

Transportation Research Record

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“…On the other hand, there is a slight difference in the mean gap acceptance between an interval of (1–10) and (11–20) sec at the same confidence interval [ 7 ]. In addition to the drivers' waiting time, another researcher [ 8 ] demonstrated that gender has an impact. It was shown that male drivers tend to be more aggressive and take greater risks when doing U-turns.…”

Section: Related Workmentioning

confidence: 99%

Modeling Behavior of U-Turning Vehicles at the Median Opening Using a Merging Behavior Approach: A Case Study in Bahir Dar City, Ethiopia

Wolelaw

Tessema

Alene

2022

Computational Intelligence and Neuroscience

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Median openings are one of the most commonly used road features, which are mainly used to allow U-turning movement in urban areas, and this study focuses mainly on modeling the behavior of U-turning vehicles at the median opening using a merging behavior approach. The purpose of the study is to estimate and model the critical gap of u-turning vehicles at the median opening under mixed traffic conditions. Under this study, the accepted gap, rejected gap, driver waiting time, merging time, and critical gap are estimated, and the modified Raff’s method and modified INAFOGA method are used for the estimation of a critical gap. However, modified INAFOGA is used for the modeling of critical gaps under mixed traffic conditions. In this study, sixteen median openings were selected in Bahir Dar city, and data were collected using a video recording technique at each selected median opening during the peak hour of the day. The necessary data were extracted using Forevid analysis software tools. Different types of traffic are involved in the mixed traffic, and each vehicle type is categorized according to the Ethiopian Road Authority’s 2013 design guide into seven different classes, such as 2-wheeler, 3-wheeler, passenger car, minibus, small bus and truck, medium bus, and medium truck. Among those traffic types, three vehicle classes (three-wheeler, passenger car, and minibus) were only considered due to the prohibition of U-turning movement for medium and large vehicles. For the modeling of critical gaps, waiting time and conflicting traffic flow are used as independent variables using the regression technique. Driver waiting time and the critical gap were found to be power related to passenger cars and minibuses and exponentially to three-wheelers. Conflicting traffic flow and critical gaps were power related to passenger cars and minibuses and linearly related to three-wheelers.

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“…The mid-block median opening (MBMO) is a location provided in the raised median to enable U-turns and to allow vehicles to merge with the approaching through traffic (ATT) stream. The MBMO is a location where traffic operation relies entirely on the driver’s perception, making it very similar to an uncontrolled intersection ( 8 , 9 ). U-turning vehicles tend to make aggressive and risky turns, forcing the ATT to reduce its speed so that they can complete the U-turn ( 10 , 11 ).…”

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confidence: 99%

Identification of Spatial and Temporal Dilemma Zone at Mid-Block Median Openings: A Gap Acceptance Based Approach

Khan

Mohapatra

2022

Transportation Research Record: Journal of the Transportation R

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A U-turn at a mid-block median opening (MBMO) is a complex maneuver. The U-turning vehicle has to find a suitable gap between two fast-moving vehicles in the approaching through traffic (ATT) stream and decide whether to accept or reject the available gap. Incorrect judgment of an available gap may lead to congestion or a collision between the U-turning vehicle and ATT. Frequently, U-turning vehicles are in a state of dilemma while deciding whether to reject or accept the available gap. Under these scenarios, the decision-making process is a challenging task for U-turning vehicles. This article thus aims to analyze the dilemma zone of U-turning vehicles at MBMO by collecting field data from 14 locations. The dilemma zone has been estimated using three methods: the cumulative distribution method; the binary logit method; and the support vector machine (SVM) method. The length and location of the dilemma zone have been observed to be influenced by different types of vehicle. The dilemma zone has been observed to shift away from the nose of the MBMO as the size of the vehicle increases. Furthermore, a practical yet straightforward equation has been also suggested for estimating the dilemma zone based on the composition of the ATT stream. The outcome of the present study will be beneficial in understanding the dilemma associated with a U-turning driver at an MBMO. The estimated dilemma zone boundary can be used further to develop a warning system in association with the intelligent transportation system for helping U-turning vehicles complete the U-turn movement safely.

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Effect of operational attributes on lateral merging position characteristics at mid-block median opening

Cited by 7 publications

References 26 publications

Comparative Appraisal of Critical Gap Estimation Techniques in the Context of U-turning Vehicles

Comparative Appraisal of Critical Gap Estimation Techniques in the Context of U-turning Vehicles

Modeling Behavior of U-Turning Vehicles at the Median Opening Using a Merging Behavior Approach: A Case Study in Bahir Dar City, Ethiopia

Identification of Spatial and Temporal Dilemma Zone at Mid-Block Median Openings: A Gap Acceptance Based Approach

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