物联网监测下的车路协同管理方法及系统

By acquiring state models from vehicle terminals and engaging in parameter interaction and fusion learning, a global model is constructed and deployed in road edge nodes. This solves the problem of data fragmentation between the vehicle side and the road side, realizes data fusion and collaborative model updates, and improves the real-time performance and accuracy of traffic management.

CN122416710APending Publication Date: 2026-07-17AI SUPER EYE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AI SUPER EYE TECH CO LTD
Filing Date
2026-03-04
Publication Date
2026-07-17

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Abstract

本发明公开了物联网监测下的车路协同管理方法及系统,涉及车路协同管理技术领域。方法包括:连接车辆终端,获取车辆状态模型;交互车辆状态模型的模型参数,通过对模型参数进行融合学习,构建车辆全局模型;基于车辆全局模型部署在道路边缘节点中,结合道路边缘节点的物联网监测数据进行道路管理协同解析,生成道路管理参数,发送至交通控制平台进行道路管理。解决了现有技术中车路协同过程中车辆侧感知数据与道路侧监测数据相互割裂、分布式模型之间缺乏参数交互与协同演进机制,导致道路管理决策滞后且精度不足的技术问题,达到了实现车路数据融合共享与模型协同更新,提升道路管理决策的实时性、精准性及全局协同调控能力的技术效果。
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