A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Implementation of Multilayer Perceptron and Radial Basis Function Neural Networks for Estimating Roundabout-Entry Traffic Flow
https://orcid.org/0000-0002-9452-5005
https://orcid.org/0000-0002-9248-3454
Roundabouts capacity is a critical aspect when assessing the feasibility of constructing them. This research examines 50 entry lanes of 15 roundabouts in Greece, both single-lane and multilane. Traffic flows, geometric parameters, and gap acceptance parameters were measured and calculated based on field observations. A quadcopter unmanned aerial vehicle (UAV), RTK GNSS receiver, and video camera attached to a tripod were used to perform the field surveys. Photogrammetry techniques were used to extract the data required for the analysis. The development and evaluation of capacity prediction models involve the implementation of both multilayer perceptron (MLP) and radial basis function (RBF) neural networks. Based on the findings, the current models of Greek and international standards overestimate roundabout capacity. The developed MLP model predicts the existing entry capacity more accurately compared to the RBF model. The developed model can be generalized and the evaluation metrics ( and ) indicate that its predictive ability is quite high.
Implementation of Multilayer Perceptron and Radial Basis Function Neural Networks for Estimating Roundabout-Entry Traffic Flow
https://orcid.org/0000-0002-9452-5005
https://orcid.org/0000-0002-9248-3454
Roundabouts capacity is a critical aspect when assessing the feasibility of constructing them. This research examines 50 entry lanes of 15 roundabouts in Greece, both single-lane and multilane. Traffic flows, geometric parameters, and gap acceptance parameters were measured and calculated based on field observations. A quadcopter unmanned aerial vehicle (UAV), RTK GNSS receiver, and video camera attached to a tripod were used to perform the field surveys. Photogrammetry techniques were used to extract the data required for the analysis. The development and evaluation of capacity prediction models involve the implementation of both multilayer perceptron (MLP) and radial basis function (RBF) neural networks. Based on the findings, the current models of Greek and international standards overestimate roundabout capacity. The developed MLP model predicts the existing entry capacity more accurately compared to the RBF model. The developed model can be generalized and the evaluation metrics ( and ) indicate that its predictive ability is quite high.
Implementation of Multilayer Perceptron and Radial Basis Function Neural Networks for Estimating Roundabout-Entry Traffic Flow
https://orcid.org/0000-0002-9452-5005
https://orcid.org/0000-0002-9248-3454
Roundabouts capacity is a critical aspect when assessing the feasibility of constructing them. This research examines 50 entry lanes of 15 roundabouts in Greece, both single-lane and multilane. Traffic flows, geometric parameters, and gap acceptance parameters were measured and calculated based on field observations. A quadcopter unmanned aerial vehicle (UAV), RTK GNSS receiver, and video camera attached to a tripod were used to perform the field surveys. Photogrammetry techniques were used to extract the data required for the analysis. The development and evaluation of capacity prediction models involve the implementation of both multilayer perceptron (MLP) and radial basis function (RBF) neural networks. Based on the findings, the current models of Greek and international standards overestimate roundabout capacity. The developed MLP model predicts the existing entry capacity more accurately compared to the RBF model. The developed model can be generalized and the evaluation metrics ( and ) indicate that its predictive ability is quite high.
Implementation of Multilayer Perceptron and Radial Basis Function Neural Networks for Estimating Roundabout-Entry Traffic Flow
J. Transp. Eng., Part A: Systems
Anagnostopoulos, Apostolos (author) / Kehagia, Fotini (author) / Aretoulis, Georgios (author)
2025-03-01
Article (Journal)
Electronic Resource
English
System reliability analysis of slopes using multilayer perceptron and radial basis function networks
| British Library Online Contents | 2017
| British Library Conference Proceedings | 1997
| DOAJ | 2019
Rational traffic roundabout design
| Engineering Index Backfile | 1937