Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2907
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dc.contributor.authorPatnaik, Ashish Kumar-
dc.contributor.authorRanjan, Ankit Raj-
dc.contributor.authorBhuyan, Prasanta Kumar-
dc.date.accessioned2018-02-05T07:03:25Z-
dc.date.available2018-02-05T07:03:25Z-
dc.date.issued2018-01-
dc.identifier.citationTransportation Research Board (TRB) 97th Annual Meeting, Washington, D.C., USA, 7 – 11 January, 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/2907-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractThe 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 (R2) 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.en_US
dc.subjectRoundabouten_US
dc.subjectCapacityen_US
dc.subjectArtificial intelligenceen_US
dc.subjectCritical gapen_US
dc.subjectRegressionen_US
dc.subjectSensitivity analysisen_US
dc.titleInvestigating Entry Capacity Models of Roundabouts under Heterogeneous Traffic Conditionsen_US
dc.typeArticleen_US
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