Chat2SPaT converts natural-language plan descriptions into exact signal phase and timing plans, reporting 86 to 94 percent accuracy across four LLMs on a 306-case bilingual test set.
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Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management
Chat2SPaT converts natural-language plan descriptions into exact signal phase and timing plans, reporting 86 to 94 percent accuracy across four LLMs on a 306-case bilingual test set.