Browsing by Author "Bartın, Bekir Oğuz"
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Automatic identification of roadway horizontal alignment information using geographic information system data: CurvS tool
Bartın, Bekir Oğuz; Demiroluk, S.; Ozbay, K.; Jami, Mojibulrahman (Sage, 2022)This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyses roadway horizontal alignment information using readily available geographic information system ... -
Estimating roadway horizontal alignment using artificial neural network
Bartın, Bekir Oğuz; Jami, Mojibulrahman; Özbay, K. (IEEE, 2021)This paper presents a novel approach for extracting horizontal alignment data from Geographic Information Systems (GIS) centerline shapefiles. Estimating the road horizontal alignment is formulated as a minimization problem, ... -
Implementing artificial neural network based gap acceptance models in the simulation model of a traffic circle in SUMO
The impact of various operational and design alternatives at roundabouts and traffic circles can be evaluated using microscopic simulation tools. Most microscopic simulation softwares utilize default underlying models for ... -
Implementing artificial neural network-based gap acceptance models in the simulation model of a traffic circle in SUMO
Bagheri, Mohammad; Bartın, Bekir Oğuz; Ozbay, K. (Sage, 2023-05-03)The impact of various operational and design alternatives at roundabouts and traffic circles can be evaluated using microscopic simulation tools. Most microscopic simulation software utilizes default underlying models for ... -
Investigation of the extent of field data required for reliable calibration and validation of large scale traffic simulation models: A case study
Bartın, Bekir Oğuz; Ozbay, K.; Gao, J.; Kurkcu, A. (IEEE, 2020-09-20)Availability, accuracy and relevance of field data are essential for developing a reliable simulation model. Large scale simulation models in particular require data from many sources and in great detail. Considering the ... -
Simulation of vehicles’ gap acceptance decision at unsignalized intersections using SUMO
Bagheri, Mohammad; Bartın, Bekir Oğuz; Ozbay, K. (Elsevier, 2022)In this paper, an artificial neural network (ANN)-based gap acceptance behavior model was proposed. The feasibility of implementing this model in a microscopic simulation tool was tested using the application programming ...
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