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城市智慧公交云脑建设与应用

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针对公交海量数据多源、异构、分散,不能充分收集、治理和应用,传统智能公交不同系统间联动性不强的实际现状,本文通过对北京、杭州、广州、上海等城市数据大脑、云脑平台的调查研究,结合云计算、人工智能等新一代信息技术,提出智慧公交云脑平台建设的总体架构,深挖十大核心应用功能,分析六大发展趋势。通过多源数据的融合、挖掘,核心模型算法的搭建,支撑公交业务应用,并加强各应用系统间的信息耦合。
Construction and Application of Intelligent Public Transport Cloud-Brain Platform
The massive data of public transportation is multisource,heterogeneous and dispersed,which cannot be fully collected,managed and applied.The linkage between different systems of traditional intelligent public transportation is relative weak.Referring to the application of data brain and cloud brain platforms in Beijing,Hangzhou,Guangzhou,and Shanghai,etc.,combining with new information technologies,such as cloud computing and artificial intelligence,we study the intelligent public transport cloud-brain platform.We mainly research on the whole architecture,ten application functions,and six developing tendencies.Through the fusion and mining of multisource data,the construction of core computing models and algorithms,the cloud-brain platform can support public transportation applications and strengthen information coupling between various application systems.

urban trafficpublic transportCloud-Brain Platformdata fusiondecision support

郑营、季朗超、徐正祥、陈艳艳

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北京工业大学,北京 100124

北京公共交通控股(集团)有限公司博士后工作站,北京 100161

城市交通 公共交通 云脑平台 数据融合 决策支持

2024

交通节能与环保
人民交通出版社股份有限公司,交通运输部公路科学研究院

交通节能与环保

影响因子:0.286
ISSN:1673-6478
年,卷(期):2024.20(3)
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