Capacity estimation of unsignalized intersections under heterogeneous traffic conditions

Mohan, Mithun; Chandra, Satish

doi:10.1139/cjce-2018-0796

Cited by 12 publications

(7 citation statements)

References 17 publications

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“…Due to its simple application, several authors have used the Raff method to estimate the critical gap for homogenous and heterogeneous traffic conditions. The cumulative sum of the accepted and the rejected gap equals 1 [22]. However, the limitation of this method is that it does not consider the lag data.…”

Section: Raff's Methodsmentioning

confidence: 99%

Critical Gap Estimation and Its Implication on Capacity and Safety of High-Speed Un-Signalised T-Intersection under Heterogeneous Traffic Conditions

Bhatt¹,

Gore²,

Shah³

2022

Komunikácie

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In India, priority rules at un-signalized intersections are often ignored by drivers. The present paper reports the applicability of deterministic and probabilistic methods for estimating the critical gaps at high-speed un-signalized T-intersections. The critical gap is estimated for different vehicle types and crossing movements. The study quantifies the implication of critical gap values on the capacity and safety values at un-signalized T-intersections. The results point to conclusion that the value obtained for the critical gap using deterministic methods is lower than that estimated by the probabilistic method. The gap values estimated using the Binary Logit Regression method are similar to those computed using the equation reported in Indo-HCM (2017). It was concluded that a lower value of the critical gap yields a higher capacity value and a higher value of risk probability.

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Section: Raff's Methodsmentioning

confidence: 99%

Critical Gap Estimation and Its Implication on Capacity and Safety of High-Speed Un-Signalised T-Intersection under Heterogeneous Traffic Conditions

Bhatt¹,

Gore²,

Shah³

2022

Komunikácie

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“…A scatter plot was drawn in MATLAB between field capacity values and the corresponding conflicting flow values. As in some cases, there were significant variations in the values of field capacity, which is quite common in the field measurements [55]. The variations in the data were reducing through a smoothening technique that was based on the moving average method (labelled as Field Qm on Figures 2-6).…”

Section: Wu's Methodsmentioning

confidence: 99%

“…In order to determine which of the listed methods provides the most realistic estimate of critical headway, the measured field capacity values (labelled as Field Q on Figures 2-6) were compared with capacity values obtained on the basis of critical headway estimated by different methods. Conflicting flow rate (labelled as CF on Figures 2-6) and capacity were measured in the field using the procedures prescribed in [54,55]. When determining these two parameters, queues of at least three vehicles were only considered.…”

Section: Wu's Methodsmentioning

confidence: 99%

Comparative Analysis of Critical Headway Estimation at Urban Single-Lane Roundabouts

Radović

Mohan

Bogdanović

2022

Promet

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According to models commonly used in practice, the capacity of roundabouts largely depends on the value of critical headway. The value of critical headway depends on the characteristics of vehicles, driving conditions, and geometric characteristics of intersections, but also on driver behaviour. Driver behaviour is the result of many factors that depend on the influence of the local environment, driver habits, mentality, etc. Accordingly, to calculate the capacity of roundabouts within the op-erational and planning analyses of roundabouts more accurately, it is necessary to use data that correspond to local conditions. In this paper, the critical headway was estimated at five urban single-lane roundabouts using five methods: Harders’, Logit, Raff’s, Wu’s, and the max-imum likelihood method. In order to determine which of the stated methods provides the most realistic estimate of critical headway, a comparison of field capacity values with theoretical capacity values was performed. Based on the comparative analysis performed in MATLAB, as well as the calculation of percentage prediction error, it was found that the Harders' method provides the most accurate estimate of critical headway at observed round-abouts in two cities in Bosnia and Herzegovina. Due to the similarity in the design of roundabouts and driver be-haviour, the results obtained in this paper can be applied in the surrounding countries, i.e., Southeast Europe

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“…Additive conflict flow technique The gap acceptance procedure is the theoretical basis for analyzing unsignalized intersections. Some researchers modified existing capacity models to account for the effect of mixed traffic scenarios prevailing in developing countries (Prasetijo, Pour and Ghadiri, 2011;Prasetijo and Ahmad, 2012;Prasetijo et al, 2014Prasetijo et al, , 2016Mohan and Chandra, 2020a). But all of these methods are suitable only for right-angled intersections.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Critical Gap and Capacity at Skewed Uncontrolled Intersections

Arathi¹

2023

European Transport/Trasporti Europei

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Critical gaps and capacity of movements at uncontrolled intersections are influenced by intersection geometry, especially in mixed traffic conditions. However, existing models to compute the capacity of uncontrolled base intersections are only suitable for intersections with 00 to 100 skew angles. This study aims to bridge the gap by evaluating the effect of skew angle on the critical gap and capacity of uncontrolled intersections. The critical gap models are developed for different vehicle types. The capacity of uncontrolled intersections is determined for different skew angles (00 to 270) using simulation and Indo-HCM models. The comparison reveals that the Indo-HCM model over-predicts the capacities. Thus, new capacity models are proposed, and it is observed that the capacity varies as a quadratic function of the skew angle, where the constant indicates base capacity. This study also provides the adjustment factors for Indo-HCM capacity models to deduce the capacity of any skew-angled intersections.

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Capacity estimation of unsignalized intersections under heterogeneous traffic conditions

Cited by 12 publications

References 17 publications

Critical Gap Estimation and Its Implication on Capacity and Safety of High-Speed Un-Signalised T-Intersection under Heterogeneous Traffic Conditions

Critical Gap Estimation and Its Implication on Capacity and Safety of High-Speed Un-Signalised T-Intersection under Heterogeneous Traffic Conditions

Comparative Analysis of Critical Headway Estimation at Urban Single-Lane Roundabouts

Analysis of Critical Gap and Capacity at Skewed Uncontrolled Intersections

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