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Intelligent transportation systems use parameters such as traffic flow, density and speed to manage city traffic. This paper presents a novel prediction model for traffic speed prediction consisting of nine stages. In the presented model, real vehicle data were passed through data filtering and map matching processes, density-based clusters were created, cluster features were generated, instant traffic state was displayed, and traffic speed prediction was performed using with the artificial neural network RNN model. In previous studies, while traffic speed prediction can be performed on a specific road with stationary data sources or on different days with distributed GPS records, in the developed model, characteristics of the interested road are created by obtaining density-based vehicle cluster features, short-term and data-driven speed prediction is made within the changeable structure of traffic. Speed prediction was tested on Eskisehir and Istanbul roads belonging to Ankara province, the error rates were determined for speed prediction using the RNN variant LSTM and GRU methods, Eskisehir road LSTM-GRU error rates were measured as 8,595-8,656 and İstanbul road error rates as 7,331-7,955, respectively. The developed model for the changeable nature of traffic has yielded successful results in near real time. It is considered that the proposed model will offer different and new solutions in the prediction of traffic parameters, accelerate the processes and assist to the users more accurate and faster services. [ABSTRACT FROM AUTHOR]

The importance of using and processing data in corporate networks is increasing day by day in the developing global world. Due to the nature of the systems, the use of data increases the network traffic density from the connected roads. The increase in data density is one of the most important factors affecting system infrastructures and performance values. Measuring and evaluating the effect of data usage amounts before the start of COVID-19 on the usage density rates of network traffic in corporate networks and the effect of network traffic density that develops with the onset of the pandemic process provides a better understanding of this structure. By using Wavelet Transform and Continuous Wavelet Transform, the temporal variation of data density was analyzed with an application based on the data set obtained from the system. The graphical data created after the analysis of the signal data (Mbps or Gbps) processed before and after the COVID-19 by using Wavelet Transform were examined and interpreted. a specific results, statistical magnitudes and different scale effects were analized. While there were 8791 data before COVID-19, 16167 data were taken into account after COVID-19. In addition, when the network traffic was examined after the pandemic period, it increased %141 times, higher thans the speed recorded before pandemic period similarly the average network traffic speed is %79 times. [ABSTRACT FROM AUTHOR]

Asphalt is considered a valuable construction material because of its strong, adhesive, and durable characteristics. Asphalt binder is a viscoelastic material and has a different behavior under different climate condition and traffic loadings and speed. Dynamic Modulus of Asphalt Mixtures E* is an important factor in pavement design therefore Highway Authority in Turkey has developed a mathematical model for the determination of E* based on research conducted for this purpose. During this study, it was found that this model is not sufficient for the determination of E* under different climate conditions (temperatures) and traffic speeds. An experimental program has been conducted for testing different typical virgin and modifies asphalt binders in Turkey. The results have been analyzed using Mechanistic Empirical Pavement Design Method MEPDM as the new model will be part of this new design method as recommended by Highway Authority in Turkey. A new approach for the determination of E* in Turkey has been found and recommended. [ABSTRACT FROM AUTHOR]

High number of traffic accidents, caused by excessive vehicle speeds in traffic, motivate officials and researchers in Turkey and all around the World to develop solutions. For this purpose in recent years, new systems, called as Smart Transport Systems (AUS), are being developed in many countries in order to prevent driving at high speeds without taking into account speed limits in urban and rural roads and to reduce the number of speed related accidents. Corridor Average Speed Enforcement Systems (KOHİTS), which is an AUS application, was developed to reduce the number of traffic accidents caused by excessive speeds and increase road safety and enable drivers to move at speed limits in Turkey as well as in the overall World. With this study, it is aimed to inform all relevant stakeholders technically by examining all the important working principles and all important issues to be taken into consideration by using scientific methods until they are activated from the beginning of system configuration. For this purpose, in order to give detailed information about the field measurements and observations made within the scope of the study, the configuration steps of KOHİTS in 2 different road routes in Toprakkale / Osmaniye ring road from the beginning to the end are examined and explained step by step in detail. From the obtained results, the most important points in the configuration process of such systems determined as high resolution quality cameras’ utilization, fast and uninterrupted network infrastructure enabling the transfer of data from the field to the center and comprehensive analysis opportunity of the developed software. It was also observed from the field observations and measurements that the configuration of the system by an expert team, development of a good software and utilization of a good technological infrastructure in the system are other very important parameters for the performance of the system. [ABSTRACT FROM AUTHOR]

This study aims at researching of concrete road and its building. It's an unarguable fact that transportation easiness is a big factor in terms of development of a state. Compared with developed countries, transportation net is insufficient and traffic intensity at our roads is increasing and road coverings falls to a big duty due to traffic intensity which is increasing. In this study, some information is given about the features of concrete roads, their advantages and their construction and it's concluded that by comparison with other toad types concrute road can give beter results in most aspects. Thanks to literateur studies, it is known that being used at our state's roads concrete roads technology which are used for 100 years in America, for 75 years in Europe will make a major contribution to the state economy. It is determined that concrete roads have many advantages such as, the vehicles stop at shorter distances, they can be made in every seasons at every condition, they can provide an increase at traffic speed, they stand up to factors such as weather conditions and fuel-oil spillovers. They are environmentally friendly, the home made materials are used, concrete roads suffer less from seasonal damages, they can be provide fuel saving, they are long-lasting, they make the night sight easy. It is thought that the importance, given in other developed states to concrete roads, should ve given to our country. [ABSTRACT FROM AUTHOR]