Stone mastic asphalt (SMA) pavements were developed to prevent rutting, abrasion, and various pavement deteriorations and to increase the life of the superstructure. They certainly stand out with their high grain contact, stone-stone interlocking ability, and high bitumen ratio on heavy-traffic roads with heavy axle loads. This study aimed to investigate the effects of basalt fiber in different sizes, partly cellulose, and partly basalt fiber addition, on the drain down of the performance of bitumen and the changes in rutting performance as additives to stone mastic asphalt pavements. To determine the absorption performance of bitumen fiber additives, 19 mixtures were pre-pared and the Schellenberger drain down test was carried out. The results, including the witness mixture, showed that the Schellenberger test result was below the value specified in the motorway technical specification by a maximum of 0.3%. For the Hamburg wheel tracking test (HWTT) additive and witness mixtures were prepared at optimum bitumen ratios using a gyratory compactor. HWTT was applied to the mixtures numbered 1, 4, 10 and 14, which have the best the Schellenberger drain down performance, and the witness sample. As a result of the experiments, the highest rutting deformation was measured at the samples using 12mm basalt fiber at the rate of 0.2%. The lowest rut deformation was measured in samples containing 12mm basalt fiber at the rate of 0,3% and cellulose fiber at the rate of 0.2%. It was determined that the combined use of cellulose and basalt fiber mixture improved the resistance against rutting by 37%. As a result of the HWTT, it was determined that stone mastic asphalt mixtures with basalt and cellulose fiber additives were more resistant to rutting than the witness and basalt-only mixtures.

Ülkemizde ulaşım alt türler arasındaki dengesizlik ve entegrasyon en önemli problem olarak karşımıza çıkmaktadır. Çalışmada son yıllarda içhat hava taşımacılığı alt türünde gözlenen talebin aylık değişimini yansıtabilen indeksleme yöntemi kullanılarak modellemesi yapılmış, geleceğe yönelik tahminler yapılarak alt türlerdeki dengesizliğin giderilmesi yönünde önerilerde bulunulmuştur. Modelleme çalışmasında bağımsız değişkenler olarak Satın alma Gücü Paritesi ve jet yakıt fiyatları kullanılmıştır. Kullanılan yöntem ile aylık ve mevsimsel değişmelere duyarlı bir model geliştirilmiştir. Yapılan hesaplamalar sonucunda gelir seviyesinde iyimser gelişmeler gözlenmesi ve jet yakıt fiyatlarında düşük seyrin gözlenmesi durumunda karayolu ulaşım sisteminin ardından hava taşımacılığının demiryolu sistemi ile ciddi bir rekabet içinde olacağı belirlenmiştir. Bu nedenle ücret politikalarında gerekirse jet yakıt fiyatlarında vergi düzenlemesi ile talep gelişiminin desteklenmesinin gerekli olduğu düşünülmektedir

Rutting is a key factor affecting the safety, durability, and performance of asphalt pavements. Its effective control requires proper design, material selection, and construction practices. Reclaimed Asphalt Pavement (RAP) offers environmental and economic advantages by reducing the need for virgin materials and minimizing construction waste. Incorporating RAP and basalt fibers can further enhance rutting resistance, thereby improving pavement longevity and structural performance. This study investigates the development of reclaimed asphalt pavement (RAP) mixture using. The RAP content was set at 15%, 30%, and 45%, with the addition of 6 mm long and 3‰ basalt fibers. The Hamburg wheel tracking test was used to evaluate the mixture's resistance to permanent deformation. The results indicated a decrease in rut depth and surface peeling as the RAP content increased. Notably, asphalt mixtures with 0% RAP and 3‰ basalt fibers demonstrated lower rut depths compared to control samples. The experiments showed that RAP mixtures exhibit superior rutting resistance compared to hot mix pavements. Additionally, integrating recycled materials and basalt fibers significantly enhanced rutting resistance, as evidenced by the incorporation of 45% RAP and 3‰ basalt fiber, which resulted in nearly a 47% decrease in rutting depth. Future research may focus on evaluating the crack resistance of asphalt pavements reinforced with high tensile strength basalt fibers.

Urban transportation systems face increasing sustainability challenges due to the dominance of private-car use, particularly for short-distance trips. This study investigates the potential of micromobility to replace private-car travel on short-distance journeys and evaluates the resulting impacts on urban transportation networks and environmental sustainability. The analysis focuses on the Bornova district of Izmir and is based on a face-to-face survey conducted with 502 private-vehicle users. Survey data were analyzed using descriptive statistics, chi-square tests and a binary logit regression model to identify factors influencing the willingness to adopt micromobility. Within the surveyed sample of private-car users, modal-shift rates were estimated as 35% for trips up to 5 km and 33% for trips between 5 and 10 km. These rates were applied to the private-car demand and distance matrices developed for the year 2030 within the scope of the Izmir Transportation Master Plan, resulting in a revised private-car demand matrix and a separate demand matrix representing potential micromobility users. Network assignments were performed in the PTV VISUM modeling environment. Assignment results demonstrate notable network-level changes following micromobility integration. The total length of road segments with micromobility traffic volumes exceeding a threshold of 10 veh/h was calculated at 292.5 km. Environmental impacts were evaluated using a life-cycle assessment (LCA) framework, revealing an approximate 5.5% reduction in total life-cycle CO₂ emissions. Overall, the findings provide quantitative evidence supporting micromobility as an effective component of sustainable urban transport strategies and offer guidance for local governments in infrastructure planning and policy development.

Tr en Çalışmada akıllı ulaşım sistemleri için parametrik ve parametrik olmayan tahmin yöntemlerin kısa zamanlı trafik tahmin performansları incelenmiş ve tahmin değerlerinin sinyalize kavşakların devre süresine ve performansına olan etkisi araştırılmıştır. Kavşakta gözlemlenen trafik verilerine bağlı olarak gecikme sürelerinin iyileştirmesi ve kavşak bekleme sürelerinin azaltılarak, kavşak performans iyileştirmesi amaçlanmıştır. Çalışma bölgesi olarak Denizli ilinde yer alan Mimar Sinan kavşağı seçilmiştir. Kavşağın yaklaşım kollarında bulunan sensörler yardımıyla elde edilen veriler, veri setleri olarak düzenlenmiştir. Oto-regresif entegre hareketli ortalama (Auto-Regressive Integrated Moving Average-ARIMA) ve yapay sinir ağları (YSA) yöntemleri ile kısa zamanlı trafik tahminleri yapılmıştır. Tahmin sonuçları Webster yöntemi kullanılarak kavşak devre süresi optimizasyonu yapılmıştır. Optimum devre süresi ve yeşil süreleri hesaplandıktan sonra Webster gecikme metodu ile kavşak yaklaşım kollarının ve kavşak genelinin gecikme değerleri hem ARIMA yönteminden elde edilen hem de YSA yönteminden elde edilen tahmin sonuçları karşılaştırılmıştır. Kısa zamanlı trafik tahmininde YSA yönteminin ARIMA yöntemine göre daha başarılı olduğu görülmüştür. In the study, the effect of parametric and nonparametric methods on short-term traffic prediction and intersection cycle length and performance were investigated. According to the data of the intersection, it is aimed to improve the delay times and reduce the intersection waiting times and improve the intersection performance. The methods were applied, for example, to the Mimar Sinan intersection of Denizli. The data obtained with the help of sensors located in the approach arms of the intersection are arranged as data sets. Short-term traffic prediction has been made with auto-regressive integrated moving average (ARIMA) and artificial neural networks (ANN) methods. Estimation results the intersection cycle length optimization was made using the Webster method. After calculating the optimum cycle length and green times, the lag values of the Webster delay method and intersection approach arms and the intersection general were compared with the estimated results obtained from both the ARIMA method and the ANN method. In the short-term traffic prediction, the results obtained using the ANN method were found to be more successful than the results obtained with the ARIMA method.