Empirical capacity model for roundabouts under heterogeneous traffic flow conditions

Patnaik, Ashish Kumar; Rao, Shweta; Krishna, Yadu; Bhuyan, Prasanta Kumar

doi:10.1080/19427867.2016.1203583

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…To determine the best effective control approach at any specific location, careful research is needed. Ashish et al [5] decided that it was discovered that the best relationship between the entry and the circulating inflow was exponential. The capacity was significantly impacted by the geometric variables entry radius, centre islet periphery, entry range, weaving range, and weaving length.…”

Section: Literature Reviewmentioning

confidence: 99%

A Traffic Volume Study for Efficient Roundabout Planning

Varhokar,

Wadhai

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Roundabouts are intersections of two or more roads with one-way circulating streets that give oncoming traffic priority. Traffic signs control the approaching traffic, which is only allowed to turn left onto the circulating headway. Upon approaching the yield line, the driver must only decide whether there is enough room for them to enter the gap in the moving traffic. The vehicles then effortlessly turn left and leave the circulating route to travel to their final destination. Signal-controlled intersections cause traffic to build up on both sides of the road, whereas roundabout-controlled intersections allow for a smooth flow of vehicles per hour. Due to stops and collisions, traffic signals cause traffic to build up on either side of the signal, causing basic wear and tear. Additionally, fuel is wasted while waiting for the light to turn green. In this paper, the planning of roundabouts will be briefly discussed at Teenbatti junction using the traffic volume study as per IRC recommendations and suggest the necessary measures that needed to be taken immediately to avoid the issue of queuing at Walkeshwar Road due to turning movement of vehicles from Malabar hill to Grant road. The main objective of the study is to address the issue of traffic congestion and queuing at Teenbatti junction by introducing roundabout. It has been concluded that the installation of roundabout and the measures discussed to counteract the various traffic related issues minimizes the traffic congestion as it avails free flow in circular motion to leave the rotary.

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Section: Literature Reviewmentioning

confidence: 99%

A Traffic Volume Study for Efficient Roundabout Planning

Varhokar,

Wadhai

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Recent studies (7)(8)(9)(10) conducted by researchers in India utilized different regression techniques to assess roundabout capacity performance. All the models included the same set of variables identified in earlier studies, with the addition of variables for weaving width and weaving length, which showed significant influence on roundabout capacity performance under the heterogeneous traffic conditions in India.…”

Section: Empirical Studies On Roundabout Capacity Models and Identifi...mentioning

confidence: 99%

Evaluation of Factors Influencing Roundabout Performance in Atlanta

Gbologah

Wei

Rodgers

2022

Transportation Research Record

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This paper evaluates the potential impacts of various geometric and operational parameters on gap-acceptance behavior for approaches to roundabouts in the metropolitan area of Atlanta, Georgia. Twelve roundabouts were selected to provide a range of different conditions such as number of legs, number of circulating lanes, conflicting volumes, presence of pedestrian crossings, and so forth. Observational data were collected at these roundabouts using a remotely operated drone equipped with a stabilized high-resolution (4K) video camera operating at a sufficient altitude (just less than 400 ft/120 m) to encompass the complete facility within a single frame. The resulting videos were processed using commercial machine vision analysis supplemented by additional computer-assisted analysis to determine vehicle trajectories, spacings, and potential conflicts on a frame-by-frame (0.033 s) basis. These data, in turn, were used to establish gap-acceptance behavior of each roundabout approach and, through the use of logistic regression on the data, to establish observed critical headways (defined as the logistic inflection point [ t50]). The variability of observed headways was compared against known parameters of both the roundabout and of the specific approach to develop a descriptive/predictive model as to how critical headways and gap-acceptance behavior were affected by variations in these parameters. Several factors were observed to have significant impacts on critical headways, including geometric (size category of the roundabout, number of legs, and visual angle to the upstream approach), environmental (presence of a state route on the upstream approach, presence of additional conflicting lanes, presence of a pedestrian crosswalk on the approach), and operational (approach speeds) factors.

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“…Existing capacity methods are broadly categorized into two groups, empirical and gap-acceptance models. In empirical regression-based models, capacity is taken as a dependent variable, whereas the circulating flow and other geometric variables are taken as independent variables ( 1 , 2 ). The gap-acceptance capacity model considers the driver’s decision to move from the minor stream of traffic flow to the major stream of traffic flow.…”

Section: Background Literaturementioning

confidence: 99%

Investigating Entry Capacity Models of Roundabouts under Heterogeneous Traffic Conditions

Patnaik

Ranjan

Bhuyan

2018

Transportation Research Record

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The primary objectives of this study are to develop the two roundabout entry capacity model by utilizing regression based Multiple Non-linear Regression model (MNLR) and artificial intelligence based ANFIS (Adaptive Neuro-fuzzy Inference System) model under heterogeneous traffic conditions. ANFIS is the latest technique in the field of Artificial intelligence that integrates both neural networks and fuzzy logic principles in a single framework. Required data have been collected from 27 roundabouts spanning across 8 states of India. To assess the significance of these models and select the best model among them modified rank index (MRI) is applied in this study. The coefficient of determination (R 2 ) and Nash-Sutcliffe model efficiency coefficient 'E' values are found to be (0.92, 0.91) & (0.98, 0.98) of MNLR & ANFIS model respectively. ANFIS model is found to be the best model in this study. But in a practical point of view, MNLR model is recommended for determining roundabout entry capacity under heterogeneous traffic conditions. Sensitivity analysis reports that critical gap is the prime variable and sharing 18.43 % for the development of roundabout entry capacity. As compared to Girabase formula (France), Brilon wu formula (Germany) & HCM 2010 models, the proposed MNLR model is quite reliable under low to medium range of traffic volumes.

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Empirical capacity model for roundabouts under heterogeneous traffic flow conditions

Cited by 15 publications

References 11 publications

A Traffic Volume Study for Efficient Roundabout Planning

A Traffic Volume Study for Efficient Roundabout Planning

Evaluation of Factors Influencing Roundabout Performance in Atlanta

Investigating Entry Capacity Models of Roundabouts under Heterogeneous Traffic Conditions

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