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Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP System
Zihao Sheng, Author 2, Author 3, Author 4, Author 5
fine-tuningtransportation managementlanguage modelsautomation
2610.10650
Builder Relevance
2h ago70%
Abstract
This paper proposes a framework for automating Transportation Management Plan content generation using Large Language Models.
Reality Card
Core Claim
The framework significantly improves the efficiency of TMP preparation by fine-tuning multiple open-source LLMs.
Method / Result
Fine-tuning improves performance across standard text generation metrics.
Limitations
LLMs tend to over-generate strategies and struggle with project-specific justifications and accurate cost estimates.
Paper to code
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