This paper explores the efficiency of acoustic sensors in Intelligent Transportation Systems (ITS), emphasizing their cost-effectiveness and ability to capture diverse data types. Using AI based audio signal processing for tasks like speed estimation and vehicle classification, it highlights their potential for enhancing ITS operations and suggesting avenues for future
research.