Development of Roundabout Entry Capacity Model Using INAGA Method for Heterogeneous Traffic Flow Conditions

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

doi:10.1007/s13369-017-2677-x

Cited by 14 publications

(7 citation statements)

References 13 publications

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“…Generally, no gaps are rejected for heavy and free-flow traffic under heterogeneous traffic conditions. Thus, to address this problem and heterogeneity, the INAGA method is used for the determination of critical gap and follow-up time in this study ( 9 ).…”

Section: Methodsmentioning

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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Section: Methodsmentioning

confidence: 99%

Investigating Entry Capacity Models of Roundabouts under Heterogeneous Traffic Conditions

Patnaik

Ranjan

Bhuyan

2018

Transportation Research Record

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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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“…Because vehicles enter the roundabout only when the gap in the circulating traffic is large enough, the capacity of the roundabout depends primarily on the circulating flow and the availability of gaps. erefore, roundabout capacity is measured in terms of the entry capacity, whether by gap acceptance theory [30][31][32], empirical models [33][34][35][36][37][38][39], simulation models [40][41][42][43], conflict theory [44], or others [45][46][47].…”

Section: Roundabout Intersectionmentioning

confidence: 99%

A Novel Methodology for Estimating the Capacity and Level of Service for the New Mega Elliptical Roundabout Intersection

Mohamed

Tan

2020

Journal of Advanced Transportation

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Mega elliptical roundabout is a new intersection on rural multilane highways. This intersection was developed in a previous paper using simulation data, and the authors found that it is better than interchange (full cloverleaf) in most scenarios of traffic flow. Basically, there are no guidelines or procedures for designing mega elliptical roundabout in AASHTO Green Book, Federal Highway Administration guides, and Highway Capacity Manual. Thus, the purpose of this study is to analyze the traffic operation performance and propose a methodology for calculating the capacity of mega elliptical roundabout and also the level of service by gap acceptance theory. Moreover, this research studied the influence of different values of truck ratios and also different values of a major highway speed on geometric design and traffic operation performance for mega elliptical roundabout. To validate the thoroughness of the proposed methodology, VISSIM simulations were conducted. This research will assist practitioners in determining the appropriate geometric design, assessing mega elliptical roundabout intersections, and making comparisons with other alternatives.

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Development of Roundabout Entry Capacity Model Using INAGA Method for Heterogeneous Traffic Flow Conditions

Cited by 14 publications

References 13 publications

Investigating Entry Capacity Models of Roundabouts under Heterogeneous Traffic Conditions

Investigating Entry Capacity Models of Roundabouts under Heterogeneous Traffic Conditions

Evaluation of Factors Influencing Roundabout Performance in Atlanta

A Novel Methodology for Estimating the Capacity and Level of Service for the New Mega Elliptical Roundabout Intersection

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