mlsanityData to 7 Oct 2026

ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?

arXiv 2303.05382 ↗First posted 6 Mar 2023cs.CL cs.AI cs.LGcited by 9

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Abstract (arXiv)

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction about the development of large language models (LLMs). Next, we exemplify using ChatGPT to address key traffic safety issues. Furthermore, we discuss the controversies surrounding LLMs, raise critical questions for their deployment, and provide our solutions. Moreover, we propose an idea of multi-modality representation learning for smarter traffic safety decision-making and open more questions for application improvement. We believe that LLM will both shape and potentially facilitate components of traffic safety research.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 40 of its 88 references that are in the map. First posted on arXiv 6 Mar 2023.

Builds on

40 of 88 references.

References · 40

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28 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 3; 2026: 1.

9 papers.

  1. 2023LanguageMPC: Large Language Models as Decision Makers for Autonomous Drivingcited by 188
  2. 2025Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directionscited by 23
  3. 2024Engineering Safety Requirements for Autonomous Driving with Large Language Modelscited by 14
  4. 2024Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviorscited by 13
  5. 2024Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysiscited by 9
  6. 2024Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Modelscited by 8
  7. 2025Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factorscited by 3
  8. 2025Zero-Shot Scene Understanding with Multimodal Large Language Models for Automated Vehiclescited by 0
  9. 2026Earth Science Foundation Models: From Perception to Reasoning and Discoverycited by 0