A NTUA Diploma Thesis titled “Analysis of factors influencing traffic conditions changes in Athens” was recently presented by Evi Krini. For this reason, traffic data were collated from selected road segments in Athens, including traffic speed through Google Maps for 62 (road axes) and the hourly traffic volume at 26 points via the Centre for Traffic Management, covering the period from January to July 2022. Additionally, data on weather conditions were gathered, and the final database was completed with geometric road features. Subsequently a Machine Learning algorithm and Cluster Analyses were conducted. The application of the models revealed that traffic metrics are significantly related to the time and type of day (weekday/weekend), with peak traffic volume occurring on weekdays during morning rush hours. Moreover, an increase in temperature is associated with a decrease in traffic volume in the morning and an increase in the evening, while the presence of rain increases low volume of traffic and decreases high traffic speeds.