  Integrating artificial intelligence (AI) and federated learning (FL) in smart
transportation has raised critical issues regarding their responsible use.
Ensuring responsible AI is paramount for the stability and sustainability of
intelligent transportation systems. Despite its importance, research on the
responsible application of AI and FL in this domain remains nascent, with a
paucity of in-depth investigations into their confluence. Our study analyzes
the roles of FL in smart transportation, as well as the promoting effect of
responsible AI on distributed smart transportation. Lastly, we discuss the
challenges of developing and implementing responsible FL in smart
transportation and propose potential solutions. By integrating responsible AI
and federated learning, intelligent transportation systems are expected to
achieve a higher degree of intelligence, personalization, safety, and
transparency.
