Intelligent Transportation Systems (ITS) are experiencing swift changes propelled by improvements in sensor technologies, data analysis, communication infrastructures, and automation. This document offers an in-depth examination of new trends and groundbreaking technologies influencing advanced ITS, concentrating on improving safety, efficiency, sustainability, and user experience within contemporary transportation systems. Important advancements—such as traffic forecasting using Artificial Intelligence and Machine Learning, infrastructure powered by the Internet of Things (IoT), integration of Edge and Cloud computing, Vehicle-to-Everything (V2X) communication, technologies for Autonomous and Connected Vehicles, and high-speed networks supported by 5G/6G—are analyzed. The research emphasizes the increasing importance of digital twins, blockchain for secure data transmission, and smart mobility platforms for optimizing multimodal transport. Additionally, the document addresses implementation hurdles like cybersecurity risks, data protection concerns, interoperability limitations, and substantial deployment expenses. Through the integration of current research and practical implementations, this study presents perspectives on the future trajectory of ITS, establishing a robust basis for researchers, policymakers, and industry players to create intelligent, resilient, and sustainable transportation solutions
 

Intelligent Transportation Systems,Smart Mobility,Emerging Technologies,Artificial Intelligence,Machine Learning