Abstract:In this paper, the welded tuff waste-known as koyke in Isparta regionwas used in the hot mix asphalt (HMA) as mineral filler for reduction of the moisture susceptibility of HMA. Optimum binder content was assessed with Marshall Design Method. First of all, welded tuff was substituted as filler with limestone filler in proportion of 50% and 100%. After that Marshall Stability test was performed on specimens. The results showed that the 50% substitution was more effective than the 100% substitution. Therefore, welded tuff was substituted with limestone filler in proportion of 25%, 50%, 65% and 75%. Next, Indirect Tensile Strength test was practiced on the fabricated specimens and the results were assessed. According to the Indirect Tensile Strength results, welded tuff with 65% was given higher strength than the limestone filler. As a result, it has come up that welded tuff can be used as mineral filler in the hot mix asphalt.
Toplu taşıma hizmetinin kalitesini belirleyen faktörlerden en önemlileri seyahat süresi, bekleme süresi ve erişilebilirlik süresidir. Bu çalışmada, Isparta ili toplu taşıma sistemi incelenmiş ve yolcuların algılarına dayalı hizmet kalitesinin belirlenmesi amaçlanmıştır. Bu nedenle en çok kullanılan beş hat seçilmiştir. Hatlarda araç içi anket çalışmaları gerçekleştirilmiştir. Metodoloji, yolcuların duraklara erişim süresi, duraklarda bekleme süresi ve seyahat süresi olmak üzere üç parametrenin ağırlıklarının yolcuların sosyo-demografik özelliklerine göre istatistiksel araçlarla belirlenmesini içermektedir. Bu çalışmada, hizmet kalitesini iyileştirmek ve toplu taşımaya daha fazla yolcu çekmek için parametrelerin ağırlıklarının çok terimli logit modeli ile etkileşimi araştırılmıştır. Pearson modeli kullanılarak birbirleri ile anlamlılık dereceleri tespit edilmiştir. İkiden fazla değeri olan çalışma durumu (çalışıyor, öğrenci, emekli, çalışmıyor, öğrenci ve çalışıyor), eğitim durumu (ilköğretim, lise, üniversite) bağımlı değişken olarak ele alınırken, bağımsız değişkenler erişilebilirlik süresi, bekleme süresi ve seyahat süresidir. Bunlara ek olarak yolcuların yaşı, seyahat amacı, cinsiyeti, kent kart kullanımı ve özel araç sahipliği açıklayıcı değişkenler olarak yorumlanmıştır. Sonuç olarak çok terimli logit modelinde çalışma durumu bağımlı değişken seçildiğinde erişilebilirlik süresi (βerişilebilirlik=0.0808), bekleme süresi (βbekleme=-0.0709) ve seyahat süresi (βseyahat=0.1246) bağımsız değişken katsayıları elde edilmiştir. Eğitim durumu bağımlı değişken seçildiğinde erişilebilirlik süresi (βerişilebilirlik=0.0518), bekleme süresi (βbekleme=-0.1963) ve seyahat süresi (βseyahat=0.1711) bağımsız değişken katsayıları elde edilmiştir.
The latest advances in technology and the improvement of decision processes with learning methods based on artificial intelligence have put the word "smart" ahead of all systems that make human life easier. Based on intelligent transportation systems, it is aimed to reduce the damage to the country's economy and the environment while providing technology-based and faster, safer, more accessible, more sustainable and more efficient transportation. The main goal of creating the intelligent transportation systems architecture is to design and implement human-focused, sustainable transportation systems together with cutting-edge technologies such as industry 4.0 technologies, mobile applications, augmented reality, and the internet of things. The transition to the Cooperative Intelligent Transportation Systems (C-ITS) structure by strengthening the infrastructure of intelligent transportation systems is included in the "National Intelligent Transportation Systems Strategy Document and 2020-2023 Action Plan". Intelligent transportation systems architecture needs to be updated according to C-ITS systems that provide interoperability and data integrity. With C-ITS, the aggregate collection of intelligent systems under one roof and the integrity of data will enable sustainable mobility such as monomedical payment in multi-mode transport. Therefore, the main factor in creating the architecture of intelligent transport systems is to create system architecture by making complex systems with data integrity and numerous insignificant idle data into systems that communicate with each other and reach the level of interoperability. In this study, intelligent transportation systems policies in the world have been analyzed and systems that have reached the level of interoperability that will provide the basis of C-ITS and intelligent transportation systems architecture have been proposed.
Serviceability was found to be influenced by longitudinal and transverse profiles as well as the extent of cracking andpatching. The amount of weight to assign to each element in the determination of the overall serviceability is a matter ofsubjective opinion. International roughness index of highway pavements has been estimated by least squares and fuzzy logicmethods and compared. For these models, Route 93, Arizona experimental data have been used. Annual freeze –thawoccurring days, depending on years, ha ve been used for modelling. The developed model with least squares method has ahigh regression value. This approach can be easily and realistically performed to solve problems that do not have aformulation or function for the solution.Keywords: International roughness index, least squares method, modelling, estimation, fuzzy logic.
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