...Mahmut Esad Ergin Research on predicting urban air quality using machine learning techniques typically employs global models that assume spatial homogeneity. This study aims to comprehensively evaluate the predictive limitations of global and station-based XGBoost methods and to examine...

... can serve as a substitute stone aggregate in road building when modified with nanochemicals. A Random Forest-based machine learning ( ML ) framework was employed to model the non-linear relationship between mix constituents and performance parameters and to perform multi-objective optimisation...

.... In this study, the aim is to examine, using machine learning, whether all pedestrian crossings in a city are designed according to standards. Eleven basic variables were determined for a total of 719 pedestrian crossings in the city centre of Erzurum, Turkey. The problems detected in the pedestrian crossings...

... signalling data and calculate regional low-carbon travel ( LCT ) levels was developed. Interpretable machine learning algorithms were applied to analyse the factors and mechanisms driving differences in LCT levels at a 1 km × 1 km scale. The results show that land use density and land use diversity...

..., no effective tool predicts the number and location of potholes in a road network. In this work, an attempt to address this gap was conducted by developing novel pothole prediction tools built using two machine learning methods – random forest and K-nearest neighbour. The final prediction model...

... and take evasive action for various reasons, leading to dangerous driving behaviour. Therefore, this study has focused on analysing the driver behaviour responsible for evasive manoeuvres when vehicles enter a roundabout from the approach roads by employing a binary logit (BL) model and machine learning...

... algorithm (GA) with multiple machine learning (ML) methods. A GA can eliminate overfitting, which is a common problem in ML models. The numerical results showed that the performance of the K-nearest neighbours method was significantly enhanced when a GA was imposed on it. In terms of the stability...