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Öğe Analyzing dynamic curve widening on forest roads(Northeast Forestry Univ, 2017) Akgul, Mustafa; Demir, Murat; Akay, Abdullah EminForest roads require important design specifications to ensure all-season access for various vehicles. Long and heavy log trucks can face serious maneuvering problems on forest roads due to insufficient amount of area to the left for road widening on horizontal curves. In order to provide safe and continuous shipment and transportation, appropriate curve widening areas should be provided for long vehicles along horizontal curves. In this study, a statistical model was developed to provide curve-widening solutions for long trucks (e.g., those with 18 wheels) considering various curve radius and deflection angles. The dynamic curve widening feature of Plateia 2013 program was employed to calculate curve widening for the specified vehicle. During the solution process, nine different horizontal curve diameters from 10 to 50 m (by 5 m intervals) and 17 different deflection angles from 90A degrees to 170A degrees (by 5A degrees intervals) were evaluated to run horizontal curve-widening analysis. Using a multiple regression model, we made suitable predictions about curve widening. The curve-widening areas decrease as the horizontal curve radius increases, while increasing the deflection angle on horizontal curves increases curve widening areas. Clearly, the computer-based dynamic curve widening model developed in this study can be effectively used in determining optimum widening for horizontal curves by evaluating the number of alternatives that fit geometrical specifications and vehicle types.Öğe Evaluation of UAV- and GNSS-Based DEMs for Earthwork Volume(Springer Heidelberg, 2018) Akgul, Mustafa; Yurtseven, Huseyin; Gulci, Sercan; Akay, Abdullah EminRoad planning and construction is a complex and time consuming process. One of the most important components in this process is estimating earthwork. Resolution of DEM, which is commonly used in road planning stage, directly affects success of earthworks estimation and construction costs. Within the scope of this study, capabilities of two different data collection systems (UAV and GNSS) were compared for DEM generation. In the study, two sets of DEMs of Bursa Technical University Kestel campus area were produced using both UAV- and GNSS-based methods. Then, cut and fill volumes were compared with considering UAV-based DEM and GNSS-based DEM depending on reference plane for three different roads. According to NRTK-GNSS-based surveying results, point density was obtained as 35 point/ha, while UAV-based surveying point density was computed as point/ha. Using UAV-based DEM as a reference plane, it was found that the volumes of excavations and embankments were very close to each other when the average excavation per unit (i.e., 1 m) road length was calculated.Öğe Usage opportunities of generating digital elevation model with unmanned aerial vehicles on forestry(Istanbul Univ, 2016) Akgul, Mustafa; Yurtseven, Huseyin; Demir, Murat; Akay, Abdullah Emin; Gulci, Sercan; Ozturk, TolgaUnmanned Aerial Vehicles (UAVs) are sustained in flight by aerodynamic lift and guided without an onboard crew, they may be expandeble or recoverable and can fly autonomously or semiautonomously. Within the scope of study, new generation series autonomous UAV brand which is Trimble UX5 is used for generating high accuracy digital model model and obtaining high accuracy image in Istanbul University research and application forest. These obtained images are evaluated with photogrammetry software Trimble Business Center (TBC) v3. 1. In this study it was determined that we can obtan high accuracy data image resolution from 2.4 cm to 24 cm depending on the flight altitude with UAV. It was concluded that UAV systems can contribute in forestry work yo obtain sensitive data because of there is no other high accuracy data such as LIDAR. And lack of trained personnel in UAV flights is disadvantages. In this study, UAV and it's systems were evaluated and tested in all steps. It was expected that geographic information data which requiered forestry applications, can be easly be obtain with UAV. When digital surface model (DSM) data was assessed comprehensively, it was concluded that the data which obtained from UAV systems are more cheaper, productive and from LIDAR and IFSAR data. At the same time UAV data are relatively sensitive such LIDAR and IFSAR.