Evaluation of Recurrent Congestion in a Traffic Network Using GPS Technology

Date

2008-05-27

Author

Demiroluk, Sami
Tüydeş Yaman, Hediye

Metadata

Show full item record

Item Usage Stats

18
views

0
downloads

URI

0
https://hdl.handle.net/11511/80370

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Evaluation of performance and optimum valve settings for pressure management using forecasted daily demand curves by artificial neural networks Yıldız, Evren; Merzi, Nuri; Department of Civil Engineering (2011) For the appropriate operation and correct short term planning, daily demand curve (DDC) of municipal water distribution networks should be forecasted beforehand. For that purpose, artificial neural networks (ANN) is used as a new method. The proposed approach employs already recorded DDCs extracted from the database of ASKI (Ankara Water Authority) SCADA center and related independent parameters such as temperature and relative humidity obtained from DMI (State Meteorological Institute). In this study, a co...
Evaluation of aggregate size effect on asphalt mixture homogeneity using image analysis Yücel, Ayhan Öner; Güler, Murat (null; 2018-10-12) The purpose of this study is to evaluate effect of aggregate size fractions on asphalt mixture inhomogeneity by means of a proposed inhomogeneity test method. The study of inhomogeneity is conducted using 2-dimensional, vertical section images of asphalt concrete specimens that are produced using the Superpave gyratory compactor. Mixture inhomogeneity is evaluated based on aggregates distribution because aggregates are the primary constituent governing the inhomogeneity level of asphalt mixtures during the ...
Evaluation of Image Representations for Player Detection in Field Sports Using Convolutional Neural Networks Sah, Melike; Direkoglu, Cem (2018-08-28) Player detection is an important task in sport video analysis. Once players are detected accurately, it can be used for player tracking, player activity/performance analysis as well as team activity recognition. Recently, convolutional Neural Networks (CNN) became the state-of-the-art in computer vision for object recognition. CNN based methods usually use gray or RGB images as an input. It is also possible to use other image representation techniques such as shape information image and polar transformed sh...
Evaluation of Warm Mix Asphalt compactability indices using laboratory compactors from a temperature perspective Pamuk, Omer Can; Öztürk, Hande Işık (2021-04-01) In practice, the production temperatures of Warm Mix Asphalt (WMA) mixtures are determined based on practical experiences and recommendations. Thus, the focus of this study is to propose a temperature-sensitive compactabilty assessment method to quantify the temperature needs of WMA mixtures. Therefore, in this study, an image-based testing setup coupled with the Marshall Apparatus was developed to obtain the densification curve of asphalt mixtures considering its sensitivity to temperature changes. Further...
Evaluation of pedestrian safety around bus stops using geographic information systems Yüksekol, İrem; Tüydeş Yaman, Hediye; Department of Civil Engineering (2012) Pedestrians are the most vulnerable road users in terms of traffic safety. Public transit users mostly have a pedestrian trip before and/or after the transit one. Thus, pedestrian activity is produced at transit stops naturally. The main focus of this study is pedestrian safety problems around transit stops, more specifically bus stops. The proposed methodology first includes Geographic Information Systems (GIS) analyses of the pedestrian safety along the study corridors and around bus stops on them; this e...

Citation Formats

S. Demiroluk and H. Tüydeş Yaman, “Evaluation of Recurrent Congestion in a Traffic Network Using GPS Technology,” 2008, Accessed: 00, 2021. [Online]. Available: 0.