Phd Degree / Doktora

Permanent URI for this collectionhttps://hdl.handle.net/11147/2869

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Access Right: Open AccessAuthor: search.filters.author.Çelik, Hüseyin Murat

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  • Doctoral Thesis
    The Use of Nonextensive Framework in Connection With Traffic Flow
    (Izmir Institute of Technology, 2015) Koşun, Çağlar; Özdemir, Serhan; Çelik, Hüseyin Murat
    In the analysis of vehicular traffic flow, numerous techniques are utilized in the literature. In this thesis, distinct from the literature, to reveal the complexity of the traffic flow and its connection with the urban and traffic factors, nonextensive thermostatistics is implemented. In real systems, e.g. vehicular traffic flow, the probability distributions would become q-Gaussian and thus the use of nonextensive thermostatistics would be relevant. This approach allows a statistical interpretation to handle the given traffic flow problem. In this thesis, highway traffic flow modeling is in question in the nonextensive framework and two case studies are presented. First is related with lane changing and driver behavior, and the other is related with the superstatistics and traffic flow. In the first case study, scenario-based vehicular interactions are examined and driver behaviors are extracted by virtue of given entropy approaches. Given the configurations, Tsallis entropy approach characterizes safe driving behavior, whereas Boltzmann-Gibbs one describes unsafe driving. In the second case, vehicle speeds on the selected highway are analyzed through superstatistics theory. Two distinct q values are computed as 1.3 and 1.8 out of q-Gaussian and beta parameter distributions, respectively. The q value of 1.3 represents the highway segment with a certain flow, while the q value of 1.8 specifies the history of the traffic flow. As a result, it is revealed that the real vehicular traffic flow would involve the nonadditivity, which mainly stems from vehicular interactions as well as the urban and traffic planning decisions.
  • Doctoral Thesis
    Detection of Environmental and Urban Change Using Remote Sensing and Gis
    (Izmir Institute of Technology, 2007) Tarhan, Çiğdem; Çelik, Hüseyin Murat
    This thesis is an example of how land use changes could be detected via high resolution remotely sensed data in GIS environment. In order to perform .change detection. IKONOS satellite images, belonging to 2001 and 2004, have been used. An automated Graphical User Interface (GUI) has been created for detection of environment. Different image enhancement techniques and a fuzzy inference system have been combined in the GUI. The detection results are classified according to some basic levels such as 20, 50 % and 70 %. Additionally, four different change detection algorithms have been applied, which are pixel-based, object based, feature based. These algorithms have been examined according to change detection levels with different image enhancement techniques.In this context, the primary objective of this thesis is to detect environmental changes regularly using RS and GIS in order to obtain up-to-date information about the urban areas.The secondary objective of the thesis is to compare the existing techniques with the newly developed GUI for change detection of environmental changes and to discuss the improvement in the overall results using information obtained with different detection techniques.The hypothesis of this thesis is to develop a new GIS based change detection system. Thus, it would be realized in the GIS environment efficiently and overlaid the results with digitized data in the same environment.Keywords: Remote Sensing, GIS, change detection, urban data, Izmir.
  • Doctoral Thesis
    A Genetic-Fuzzy System Modeling of Trip Distribution
    (Izmir Institute of Technology, 2010) Kompil, Mert; Çelik, Hüseyin Murat
    Trip distribution modelling is one of the most active parts of travel demand analysis. In recent years, use of soft computing techniques has introduced effective modelling approaches to the trip distribution problem. Fuzzy Rule-Based System (FRBS) and Genetic Fuzzy Rule-Based System (GFRBS: fuzzy system improved by a knowledge base learning process with genetic algorithms) modelling of trip distribution are two of these new approaches. However, much of the potential of these techniques has not been demonstrated so far. The present study explores the potential capabilities of these approaches in an urban trip distribution problem with some new features. For this purpose, a simple FRBS and a novel GFRBS were designed to model Istanbul intra-city passenger flows. Subsequently, their accuracy, applicability, and generalizability characteristics were evaluated against the well-known gravity and neural networks based trip distribution models. The overall results show that: i) traditional doubly constrained gravity models are still simple and efficient; ii) neural networks may not show expected performance when they are forced to satisfy production-attraction constraints; iii) simply-designed FRBSs, learning from observations and expertise, are both interpretable and efficient in forecasting trip interchanges even if the data is large and noisy; and iv) use of genetic algorithms in fuzzy rule base learning considerably increases modelling performance, although it brings additional computation costs.
  • Doctoral Thesis
    Optimum Land-Use Allocation Using Binary Integer Programming and Geographic Information Systems: Case of Çeşme
    (Izmir Institute of Technology, 2009) Türk, Ersin; Çelik, Hüseyin Murat; Çelik, Hüseyin Murat
    Spatial decision making is a very complex process that basic strategy of decision analysis is to divide the decision problem into small, understandable parts; analyze each part; and integrate the parts in a logical manner to produce a rational solution. Recently,Multicriteria Decision Making (MCDM) integrated with geographical information system (GIS) has been promising in producing analytical tools for analyzing many realworld spatial planning and decision making problems.In Turkey, natural, archaeological and cultural assets are conserved according to the decisions of the conservation regional councils. The conservation regional councils decide boundary, type and degree of conservation areas but these areas and their features is changed frequently according to economical, environmental and political atmosphere.The conservation decision is one of the most important input criteria in preparing urban land-use plan since the type and degree of conservation area directly determines which kind of land-uses can and cannot be allocated in a conservation area. The aim of this dissertation is to analyze the effects of changing conservation decisions on optimum land use allocation when all other criteria are constant. This analysis was made with five different perspectives. The thesis uses the land assignment model provided by Hanink and Cromley (1998) that integrates the geographical information systems (GIS) with a generalized assignment model by using MCDM techniques to determine optimum level of conservation scheme. The case study is the master plan area of Çeme in zmir province in Turkey. The results show that the theoretically proposed method is indeed very useful and promising to answer complex issues on a more rational basis.