Summary of A Survey on the Applications Of Frontier Ai, Foundation Models, and Large Language Models to Intelligent Transportation Systems, by Mohamed R. Shoaib et al.
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems
by Mohamed R. Shoaib, Heba M. Emara, Jun Zhao
First submitted to arxiv on: 12 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This survey paper explores the impact of frontier AI, foundation models, and Large Language Models (LLMs) on Intelligent Transportation Systems (ITS), highlighting their role in optimizing traffic management, advancing transportation intelligence, and contributing to smart cities. The study focuses on LLMs’ applications in language understanding, text generation, translation, and summarization, leveraging vast textual data from sources like traffic reports and social media interactions. By analyzing the synergy between LLMs and ITS, the survey delves into topics such as traffic management, autonomous vehicles, and smart city development, providing insights into ongoing research, innovations, and emerging trends. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how AI can help with transportation. It talks about big language models that can understand and generate text, like GPT-4. These models are good for things like understanding traffic reports and social media posts. They can even help make autonomous vehicles smarter! The study shows how these language models can be used to improve traffic management and create smart cities. It also looks at the challenges of using frontier AI in transportation. |
Keywords
» Artificial intelligence » Gpt » Language understanding » Summarization » Text generation » Translation
