The GPS trajectory data research based on the intelligent traffic big data analysis platform

doi:10.3233/JCM-170728

	The GPS trajectory data research based on the intelligent traffic big data analysis platform
	Zhang, Xijun 1,2; Yuan, Zhanting 1,2
	2017
发表期刊	Journal of Computational Methods in Sciences and Engineering
ISSN	14727978
卷号	17 期号:3 页码:423-430
摘要	At present, our country is facing the problems of resource shortage, such as the air pollution, the traffic congestion and the population aging, which have seriously affected the sustainable development of the city. Human movement and the movement of vehicles are reflecting the changes of urban environment. The analysis of moving objects historical trajectory big data is the necessary means to build a smart city. Due to the Global Positioning System (GPS) data recording the taxi's and the bus's driving time and location, the GPS-equipped taxi can be regarded as the detector of an urban transport system. The data acquisition in the traffic system is a geometric trend growth, so it is urgent to build a platform that can handle big data processing. The GPS trajectory big data has the characteristic of strong real-time and great changes. The use of big data cloud platform data storage can greatly reduce the cost of data storage, and at the same time improve the security of data storage. This paper deeply analyses the application requirements of the intelligent traffic trajectory big data processing platform and studies the mining method to do with the GPS trajectory big data. Through the simulation we can grasp the distribution characteristic of GPS trajectory big data. © 2017 IOS Press and the authors.
关键词	Big data Data acquisition Data mining Global positioning system Security of data Smart city Sustainable development Taxicabs Traffic congestion Trajectories Urban transportation Application requirements Distribution characteristics Gps trajectories Intelligent traffics Population aging Resource shortage Urban environments Urban transport systems
DOI	10.3233/JCM-170728
收录类别	EI ; ESCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Multidisciplinary
WOS记录号	WOS:000407737900007
出版者	IOS Press, Nieuwe Hemweg 6B, Amsterdam, 1013 BG, Netherlands
EI入藏号	20173404056034
EI主题词	Digital storage
EI分类号	432 Highway Transportation - 433 Railroad Transportation - 662.1 Automobiles - 722.1 Data Storage, Equipment and Techniques - 723.2 Data Processing and Image Processing
来源库	Compendex
分类代码	432 Highway Transportation - 433 Railroad Transportation - 662.1 Automobiles - 722.1 Data Storage, Equipment and Techniques - 723.2 Data Processing and Image Processing
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114343
专题	兰州理工大学
通讯作者	Zhang, Xijun
作者单位	1.Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou, Gansu, Peoples R China; 2.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Xijun,Yuan, Zhanting. The GPS trajectory data research based on the intelligent traffic big data analysis platform[J]. Journal of Computational Methods in Sciences and Engineering,2017,17(3):423-430.
APA	Zhang, Xijun,&Yuan, Zhanting.(2017).The GPS trajectory data research based on the intelligent traffic big data analysis platform.Journal of Computational Methods in Sciences and Engineering,17(3),423-430.
MLA	Zhang, Xijun,et al."The GPS trajectory data research based on the intelligent traffic big data analysis platform".Journal of Computational Methods in Sciences and Engineering 17.3(2017):423-430.