English(EN) Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support

调查论文详述LLM和MM-LLM在交通运营中的应用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 04:00

一篇新的调查论文探讨了大型语言模型（LLMs）和多模态大型语言模型（MM-LLMs）在交通系统管理与运营中的应用。该研究综合了运营、出行服务和数据支持等领域的现有研究，并指出了数据异构性和可解释性等挑战。论文提出，LLMs作为决策支持层最有前景，特别是MM-LLMs能够整合多样化的数据输入。 AI

影响 LLMs通过整合多样化的数据源，展现出增强交通领域决策能力的潜力。

排序理由这是一篇发表在arXiv上的调查论文，详细介绍了LLM在特定领域的应用。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 这是一篇发表在arXiv上的调查论文，详细介绍了LLM在特定领域的应用。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.AI TIER_1 English(EN) · Siyan Li, Zehao Wang, Jiachen Li, Kanok Boriboonsomsin, Matthew J. Barth, Guoyuan Wu · 2026-06-02 04:00

大型语言模型在交通系统管理与运营中的应用：从文本推理到多模态决策支持

arXiv:2606.00991v1 Announce Type: new Abstract: Transportation systems management and operations (TSMO) increasingly depends on timely interpretation of heterogeneous data, from various sensor streams, incident reports, traveler feedback, and visual observations. Large language m…