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This article explores recent advancements and innovative trends in urban mobility and transportation engineering. It delves into the resilience of transportation networks, automated machine learning applications, congestion prediction, sentiment analysis of electric vehicle discussions, advancements in air mobility, blockchain technology, query-based moment retrieval in videos, and person re-identification. By reviewing key contributions from various authors, including A Bauranov, S Parks, H Chen, and others, this paper highlights significant developments and insights into the future of transportation systems. The findings underscore the importance of technological integration, automation, and advanced computational techniques in modern transportation research.
Noah A. Smith (Thu,) studied this question.