Implementing traffic agent based on LangGraph

Haitian Chen; Ye Ding

doi:10.1117/12.3050639

20 January 2025 Implementing traffic agent based on LangGraph

Haitian Chen, Ye Ding

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 1342226 (2025) https://doi.org/10.1117/12.3050639
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

As urbanization accelerates, the rapid increase in urban populations and vehicle numbers poses unprecedented challenges to city traffic. The demand for intelligent transportation systems, a key component of smart city construction, is growing day by day. This system is a highly integrated interdisciplinary field that combines complex computer algorithms, which to some extent limits its extensive application. The emergence of large language middleware has reduced the deployment barriers for related applications. This article proposes an innovative intelligent transportation system that combines a large language model (LLM) with Amap API through LangGraph, providing strong support for urban traffic. This system not only assists users in making travel decisions through natural language dialogue based on the superior reasoning and planning capabilities of LLM, but also enhances the semantic understanding ability of LLM by constructing a graph structure through LangGraph, it improves the capture capability for urban traffic tasks and implements a self-feedback mechanism for the large language model. This innovative approach offers a more convenient and efficient method for the application of large language models in the field of Intelligent Traffic System.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haitian Chen and Ye Ding "Implementing traffic agent based on LangGraph", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 1342226 (20 January 2025); https://doi.org/10.1117/12.3050639

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