Knowledge Commons of Institute of Automation,CAS
Big Data Platform & Typical APP Services for Urban Public Transportation | |
Cao Lin1; Dong Xisong2; Yu Jiehan3; Xiong Gang4; Shen Zhen5; HU Bin6; Zhu Fenghua4 | |
2017 | |
会议名称 | 中国自动化大会(CAC2017)暨中国国际智能制造大会(CIMIC2017) |
会议日期 | 2017 |
会议地点 | China |
摘要 | Along with more and more people and cars appear in cities, the stricter requirements, like traffic efficiency, safety, service and cleanness cannot be met easily by using the existing urban traffic plan and operation management methods, which are normally supported by the separated and partial Intelligent Transportation System (ITS). In this paper, big data platform for urban public transportation is proposed, and its architecture and subsystems are developed. Then, Guangzhou's typical APP services for urban public transportation are described in detail, including: real-time bus service, taxi inquiry and call service, mobile payment, and traffic information service, etc. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19478 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
作者单位 | 1.University of Chinese Academy of Sciences 2.The Qingdao Academy of Intelligent Industries 3.Guangzhou Communication Information Construction Investment and Operation Co. Ltd 4.Cloud Computing Center, Chinese Academy of Sciences 5.The Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences 6.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Cao Lin,Dong Xisong,Yu Jiehan,et al. Big Data Platform & Typical APP Services for Urban Public Transportation[C],2017. |
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2017CAC-Cao2366- Big(569KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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