3.0

credits

Average Course Rating

This course offers an in-depth exploration of the evolving landscape of smart transportation systems and autonomous vehicle technologies. Students will study the integration of intelligent transportation systems (ITS) and automation, with a focus on the development, challenges, and future of autonomous vehicles (AVs) within open-world traffic settings. Key topics include sensor technologies, data quality control and bias mitigation, data processing algorithms, machine learning, vehicle-to-everything (V2X) communication, human-machine interaction, and ethical considerations in technology deployment. Additionally, the course will cultivate students with advanced data processing skills and the role of data science in transportation, emphasizing data-driven solutions for safety, mobility, and sustainability. By the end of the course, students will have gained a comprehensive understanding of how smart technologies are shaping the future of transportation and the role of AVs in fostering safer, more efficient, and sustainable urban mobility systems.