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
Conference Name中国自动化大会(CAC2017)暨中国国际智能制造大会(CIMIC2017)
Conference Date2017
Conference PlaceChina
Abstract

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.

Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19478
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.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
Recommended Citation
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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