The Role of AI in Smart Mobility: A Comprehensive Survey

The advancement in Artificial Intelligence, particularly the application of deep learning methodologies, has allowed for the implementation of modern smart transportation systems, which are making the driver experience increasingly reliable and safe. Unfortunately, a literature review revealed that no survey paper provides a collective overview of all the machine learning applications involved in smart transportation systems. To fill this gap, this paper provides a discussion on the role and advancement of deep learning methodologies in all the smart mobility aspects, highlighting their mutual dependencies. To this end, three key pillar areas are considered: smart vehicles, smart planning, and vehicle network and security. In each area, the subtasks commonly addressed by machine learning are pointed out, and state-of-the-art techniques are reviewed, with a final discussion about advancements according to recent findings in machine learning.