Výsledky vyhledávání - "Cetin, Mecit"

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Queue Length Estimation at Traffic Signals: Connected Vehicles with Range Measurement Sensors

Today vehicles are becoming a rich source of data as they are equipped with localization or tracking and with wireless communications technologies. With the increasing interest in automated- or self- driving technologies, vehicles are also being equi

Externí odkaz: http://arxiv.org/abs/2011.09397

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A Simple Traffic Signal Control Using Queue Length Information

Autor: Comert, Gurcan, Cetin, Mecit, Begashaw, Negash

Developments in sensor technologies, especially emerging connected and autonomous vehicles, facilitate better queue length (QL) measurements on signalized intersection approaches in real time. Currently there are very limited methods that utilize QL

Externí odkaz: http://arxiv.org/abs/2006.06337

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Flow Rate Estimation From Probe Vehicle Data And Sample Size Requirements

Autor: Cetin, Mecit, Comert, Gurcan

The interest to use probe vehicles for traffic monitoring is growing. This paper is focused on the estimation of flow rate from probe vehicle data and the evaluation of sample size requirements. Three cases are considered depending on the available i

Externí odkaz: http://arxiv.org/abs/2001.05904

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Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning

Autor: Sazara, Cem, Cetin, Mecit, Iftekharuddin, Khan M.

Detecting roadway segments inundated due to floodwater has important applications for vehicle routing and traffic management decisions. This paper proposes a set of algorithms to automatically detect floodwater that may be present in an image capture

Externí odkaz: http://arxiv.org/abs/1909.00125

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Offline reconstruction of missing vehicle trajectory data from 3D LIDAR

Autor: Sazara, Cem, Nezafat, Reza Vatani, Cetin, Mecit

Publikováno v: Intelligent Vehicles Symposium (IV), 2017 IEEE, 792-797

LIDAR has become an important part of many autonomous vehicles with its advantages on distance measurement and obstacle detection. LIDAR produces point clouds which have important information about surrounding environment. In this paper, we collected

Externí odkaz: http://arxiv.org/abs/1709.05446

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