Future-AI and Intelligent Transportation Systems

Future-AI and Intelligent Transportation Systems (Future-AITS) is an international academic journal dedicated to cutting-edge research in the fields of Artificial Intelligence (AI) and Intelligent Transportation Systems (ITS). The journal aims to advance the theory and practice of AI-driven transportation solutions, focusing on developing intelligent systems that can adapt to dynamic environments, optimize traffic flows, and enhance mobility safety and efficiency.  

The journal places special emphasis on research topics such as:  Machine learning and deep learning applications in traffic management, Autonomous vehicle perception, decision-making and control systems, Smart infrastructure and vehicle-to-everything (V2X) communication, Predictive analytics for transportation planning and optimization, AI-powered solutions for sustainable urban mobility,  Human factors and user experience in intelligent transportation, Cybersecurity and privacy in connected transportation networks.  

As a multidisciplinary publication, Future-AITS attracts scholars from diverse fields including computer science, transportation engineering, urban planning, and electrical engineering. The journal fosters the integration of theoretical innovation with practical applications, serving as a vital platform for academia and industry to explore the future pathways of intelligent transportation systems.  

Future-AITS maintains rigorous academic standards through a double-blind peer review process. All submissions are evaluated based on their originality, technical quality, and potential impact on the field. The journal provides authors with detailed feedback to ensure published work meets the highest standards of excellence.  

The journal follows an open access model, ensuring all published research is freely available to the global research community without publication fees.