<p>Transportation is not only a critical part of most countries infrastructure, but also frequently mentioned as one of the major issues that affect the daily life of citizens, especially those living in metropolitan areas. Hence, transportation in general and traffic in particular are the target of numerous scientific papers that use artificial intelligence in some form. There are thousands of papers that cover the synergies between these areas, thus making it hard to navigate in the literature. Even if we consider just surveys and reviews that address the combination of artificial intelligence and transportation, their amount is still in the hundreds. Motivated by this difficulty, the present paper provides a meta review, i.e., here the reviews and surveys found in bibliographic repositories are listed and classified (by mode of transportation, purpose, aim, etc.). In total, more than 2000 such papers were retrieved; after filtering and manual screening, 272 papers are discussed, hoping to fill a gap and help researchers navigate throughout the literature. Since the present meta review reflects the state of the knowledge as in 2024, further avenues may explore specific developments reflecting the use of a popular method at this moment, namely deep learning. Also, it is noticeable that some areas as well as some applications have received much more attention than others, thus leaving the door open for further review papers in those directions.</p>