广州市城市智能交通大数据体系研究与实践

doi:10.11959/j.issn.2096-0271.2019036

Big Data Research ›› 2019, Vol. 5 ›› Issue (4): 113-120.doi: 10.11959/j.issn.2096-0271.2019036

• APPLICATION • Previous Articles

Research and practice on traffic big data application system of urban intelligent transportation in Guangzhou

Zi ZHANG¹,Qinyan HUANG²,Chuan FENG²

¹ Guangzhou Municipal Transportation Bureau,Guangzhou 510620,China
² Guangzhou Communication Information Construction Investment and Operation Co.,Ltd.,Guangzhou 510620,China

Online:2019-07-15 Published:2019-08-09
Supported by:
Science and Technology Project of Guangdong(2016B010127004);Science and Technology Project of Baiyun District of Guangzhou(2016-KJ-026)

Abstract

Abstract:

In order to construct modernization traffic governance system and enhance people-centered transport service level,it’s an urgent need to establish a strong drive and sustainable intelligent transportation system(ITS) with traffic big data.Firstly,the present situation of traffic big data research and application was comprehensively analyzed.Then,the development demand and goal were analyzed.At last,some typical practice cases of traffic big data application in Guangzhou were taken as example,the framework of traffic big data application system was built with “one center,three platforms”.All above work is for in-depth application and innovation development of traffic big data.

Key words: intelligent transportation, traffic big data system, system framework, big data application

CLC Number:

U491

Zi ZHANG,Qinyan HUANG,Chuan FENG. Research and practice on traffic big data application system of urban intelligent transportation in Guangzhou[J]. Big Data Research, 2019, 5(4): 113-120.

Figures/Tables 2

References 10

[1]	熊刚, 董西松, 朱凤华 ,等. 城市交通大数据技术及智能应用系统[J]. 大数据, 2015,1(4): 81-96.
	XIONG G , DONG X S , ZHU F H ,et al. Big data technologies and intelligent application system for urban transportation[J]. Big Data Research, 2015,1(4): 81-96.
[2]	张滨, 陈吉荣, 乐嘉锦 . 大数据管理技术研究综述[J]. 计算机应用与软件, 2014,31(11): 1-5.
	ZHANG B , CHEN J R , LE J J . Overview on big data management technology research[J]. Computer Applications and Software, 2014,31(11): 1-5.
[3]	黄敏, 钮中铭, 张小兰 ,等. 基于GIS-T的交通仿真路网构建研究[J]. 系统仿真学报, 2017(3): 531-536.
	HUANG M , NIU Z M , ZHANG X L ,et al. Research of the construction of GIS-T traffic simulation road network[J]. Journal of System Simulation, 2017(3): 531-536.
[4]	张溪 . 大数据下智能交通系统的发展综述[J]. 信息与电脑, 2019(1): 17-19.
	ZHANG X . Overview on the development of intelligent transportation system under the big data[J]. China Computer ＆Communication, 2019(1): 17-19.
[5]	张继超 . 大数据在交通行业中的应用研究[J]. 中国新通信, 2018(6):85.
	ZHANG J C . Research on the application of big data in the transportation industry[J]. China New Telecommunications, 2018(6):85.
[6]	杨剑红 . 数据挖掘的关联分析及在道路交通事故上的应用[D]. 广州:广州大学, 2018.
	YANG J H . Correlation analysis of data mining and its application in road trafficaccidents[D]. Guangzhou:Guangzhou University, 2018.
[7]	王娜 . 基于数据挖掘技术的城市交通流短时预测研究[D]. 天津:中国民航大学, 2016.
	WANG N . SShort-term traffic state forecasting study based on data mining[D]. Tianjin:Civil Aviation University of China, 2016.
[8]	郑晓鸿 . 基于ITS的道路交通事故预警系统设计[J]. 科技视界, 2017(10):56.
	ZHENG X H . Design of road traffic accident warning system based on ITS[J]. Science ＆Technology Vision, 2017(10):56.
[9]	彭晨伟, 巴继东 . 基于交通大数据的智能信息服务平台[J]. 计算机系统应用, 2017(7): 97-103.
	PENG C W , BA J D . Intelligent information service platform based on traffic big data[J]. Computer Systems ＆Applications, 2017(7): 97-103.
[10]	刘晓波, 蒋阳升, 唐优华 . 综合交通大数据应用技术创新平台[J]. 大数据, 2018(6): 78-84.
	LIU X B , JIANG Y S , TANG Y H . Innovation platform of integrated transportation big data application technology[J]. Big Data Research, 2018(6): 78-84.

Metrics

Recommended 0

No Suggested Reading articles found!

Research and practice on traffic big data application system of urban intelligent transportation in Guangzhou

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 2

References 10

Related Articles 6

Metrics

Recommended 0

[1]	Zhengding HU, Wei XUE. Research on performance optimization for large-scale sparse computation over many-core heterogenous supercomputer [J]. Big Data Research, 2020, 6(4): 40-55.
[2]	Jianmin WANG, Chen WANG, Yingbo LIU, Lin LIU. Big data system software eco-system and platform construction [J]. Big Data Research, 2018, 4(5): 104-112.
[3]	Xin ZHAO, Dezhi WU, Zhizhong ZHOU. Big data mining and application of concrete pumping machinery [J]. Big Data Research, 2018, 4(4): 64-75.
[4]	Haitao WANG, Rui MAO, Zhong MING. Perspective on big data system computing technology [J]. Big Data Research, 2018, 4(2): 97-104.
[5]	Fang GUI, Lian LI, Jing YANG, Yongwei WU. A message driven framework for big data application system [J]. Big Data Research, 2016, 2(4): 36-48.
[6]	Maosen Zhang. Future of Data Technology Era [J]. Big Data Research, 2015, 1(1): 122-127.