mlsanityData to 7 Oct 2026

A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective

arXiv 2312.08248 ↗First posted 13 Dec 2023cs.AIcited by 6

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Abstract (arXiv)

Intelligent transportation systems are vital for modern traffic management and optimization, greatly improving traffic efficiency and safety. With the rapid development of generative artificial intelligence (Generative AI) technologies in areas like image generation and natural language processing, generative AI has also played a crucial role in addressing key issues in intelligent transportation systems (ITS), such as data sparsity, difficulty in observing abnormal scenarios, and in modeling data uncertainty. In this review, we systematically investigate the relevant literature on generative AI techniques in addressing key issues in different types of tasks in ITS tailored specifically for road transportation. First, we introduce the principles of different generative AI techniques. Then, we classify tasks in ITS into four types: traffic perception, traffic prediction, traffic simulation, and traffic decision-making. We systematically illustrate how generative AI techniques addresses key issues in these four different types of tasks. Finally, we summarize the challenges faced in applying generative AI to intelligent transportation systems, and discuss future research directions based on different application scenarios.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 71 of its 314 references that are in the map. First posted on arXiv 13 Dec 2023.

Builds on

71 of 314 references.

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Citing papers per year: 2024: 2; 2025: 4.

6 papers.

  1. 2025Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmapcited by 26
  2. 2025Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directionscited by 23
  3. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
  4. 2024GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoningcited by 7
  5. 2025Generative AI for Autonomous Driving: Frontiers and Opportunitiescited by 7
  6. 2024A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learningcited by 0