---
id: 20260716-T0-12
title: "CityBehavEx：基于LLM的城市模拟平台，生成行为更贴近真实人群移动数据"
title_en: "CityBehavEx: LLM-Powered Urban Simulator Generates Behaviors Matching Real Mobility Data"
url: https://ai.daily.yangsir.net/daily/20260716-T0-12
issue_date: 2026-07-16
publish_date: 2026-07-15T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2607.12086
---

# CityBehavEx：基于LLM的城市模拟平台，生成行为更贴近真实人群移动数据

arXiv新研究推出CityBehavEx，一个基于大语言模型的多智能体城市模拟平台。与传统模拟器相比，它在可扩展性和经验验证上有所突破，生成的居民日常行为模式与真实城市移动数据高度一致，为城市规划、交通管理等应用提供了更可靠的仿真工具。

## English Version

**CityBehavEx: LLM-Powered Urban Simulator Generates Behaviors Matching Real Mobility Data**

A new study presents CityBehavEx, an LLM-based multi-agent urban simulation platform. It improves upon traditional simulators in scalability and empirical validation, generating daily routines that closely match real-world urban mobility data, offering a more reliable tool for urban planning and traffic management.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2607.12086)

**详情页**：https://ai.daily.yangsir.net/daily/20260716-T0-12

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