Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support
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 models (LLMs), including emerging multi-modal large language models (MM-LLMs), provide a new mechanism for integrating these structured and unstructured inputs into operator-facing decision support. This survey paper reviews LLM- and MM-LLM-based applications in TSMO across three domains: transportation operations & ser
The proliferation of advanced large language models and multi-modal LLMs allows for integrated processing of diverse, heterogeneous data streams, making their application to complex domains like transportation management newly feasible.
This development indicates a significant maturation of AI capabilities, demonstrating their practical utility in critical infrastructure management and decision support, potentially leading to more efficient and safer transportation systems.
Traditional siloed data analysis in transportation is shifting towards integrated, AI-driven insights, enabling more responsive and real-time operational decisions.
- · Transportation authorities
- · Smart city technology providers
- · Software developers (LLM/MM-LLM focus)
- · Commuters/Travelers
- · Legacy transportation management systems
- · Manual data analysts in transportation
- · Systems lacking AI integration capabilities
LLMs provide real-time, comprehensive intelligence by integrating varied sensor data, incident reports, and public feedback for transportation operators.
Improved traffic management and incident response will reduce congestion, optimize resource allocation, and enhance overall system efficiency and safety.
The success of LLMs in TSMO could accelerate their adoption in other complex infrastructure management sectors, creating a new standard for operational intelligence.
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Read at arXiv cs.AI