文章编号： 1672-5328（2025）03-0024-09

景国胜1, 2，宋程1, 2，吕海欧1, 2，陈先龙1, 2
(1. 广州市交通规划研究院有限公司，广东广州510030；2. 广东省可持续交通工程技术研究中心，广东广州 510030)

摘要： 交通治理模型是交通运营精细化决策分析的有效手段，也是促进多利益主体协同治理的重要 平台。通过辨析交通规划模型与交通治理模型的核心差异，基于数据感知—模型推演—治理决策— 数据再感知的闭环逻辑，构建了广州市黄埔区交通治理模型体系的技术架构。宏中微观一体化交通 治理模型能够分层协同推演城市交通发展态势，其典型应用场景包括道路交通运行监测与治理、交 通管理决策支持、拥堵点治理与决策分析、道路建设工程全流程治理等。实证研究表明，该模型显 著提升了交通治理效能：宏观交通治理模型实现全路网饱和度日变监测，精准识别高饱和度道路交 叉口的时空分布；中观交通治理模型有效仿真占道施工引发的交通拥堵动态演化过程；微观交通治 理模型可进行交通组织方案对道路运行影响的车道级验证评估。

关键词： 交通规划；交通治理模型；宏中微观一体化；拥堵治理；广州市黄埔区

中图分类号： U491.1+2

文献标识码：A

Development and Application of a Traffic Governance Model in Huangpu District, Guangzhou

JING Guosheng1, 2, SONG Cheng1, 2, LYU Haiou1, 2, CHEN Xianlong1, 2
(1. Guangzhou Transport Planning Research Institute Co., Ltd., Guangzhou Guangdong 510030, China; 2. Guangdong Sustainable Transportation Engineering Technology Research Center, GuangZhou Guangdong 510030, China)

Abstract： Traffic governance models are effective tools for refined decision-making analysis of traffic operations and serve as vital platforms for enabling collaborative governance among multiple stakeholders. By assessing the core distinctions between transportation planning models and traffic governance models, this paper presents a technical architecture for the traffic governance model system in Huangpu District, Guangzhou, based on a closed-loop logic of data perception, model simulation, governance decision-making, and data re-perception. The integrated macro-meso-micro traffic governance model can enable a tiered and coordinated simulation of urban transportation development. Its typical application scenarios include road traffic operation monitoring and dynamic governance, decision support for traffic management, congestion point governance and decision analysis, and full-process governance of traffic engineering projects. Empirical research demonstrates the model's significant contribution in improving traffic governance efficiency: the macro- level model achieves daily variation monitoring of saturation levels across the entire road network and accurately identifies the spatiotemporal distribution of highly saturated intersections; the meso-level model effectively simulates the dynamic evolution of congestion caused by road occupation for construction; and the micro-level model provides lane-level validation and evaluation of traffic organization plans' impact on road operations.

Keywords： transportation planning; traffic governance model; integrated macro- meso- micro approach; congestion governance; Huangpu District, Guangzhou