A traffic pattern detection algorithm based on multimodal sensing

doi:10.1177/1550147718807832

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	A traffic pattern detection algorithm based on multimodal sensing
	Qin, Yanjun 3; Luo, Haiyong 2; Jiang, Mengling 3; Zhao, Zhongliang 1; Zhao, Fang 3
刊名	INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
	2018-10-25
卷号	14 期号:10 页码:16
关键词	Deep learning low power consumption transportation mode detection multimodal sensing performance comparison
ISSN号	1550-1477
DOI	10.1177/1550147718807832
英文摘要	Nowadays, smartphones are widely and frequently used in people's daily lives for their powerful functions, which generate an enormous amount of data accordingly. The large volume and various types of data make it possible to accurately identify people's travel behaviors, that is, transportation mode detection. Using the transportation mode detection, results can increase commuting efficiency and optimize metropolitan transportation planning. Although much work has been done on transportation mode detection problem, the accuracy is not sufficient. In this article, an accurate traffic pattern detection algorithm based on multimodal sensing is proposed. This algorithm first extracts various sensory features and semantic features from four types of sensor (i.e. accelerator, gyroscope, magnetometer, and barometer). These sensors are commonly embedded in commodity smartphones. All the extracted features are then fed into a convolutional neural network to infer traffic patterns. Extensive experimental results show that the proposed scheme can identify four transportation patterns with 94.18% accuracy.
资助项目	National Key Research and Development Program[2018YFB0505200] ; National Natural Science Foundation of China[61872046] ; Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向	Computer Science ; Telecommunications
语种	英语
出版者	SAGE PUBLICATIONS INC
WOS记录号	WOS:000449110400001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/3653]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Luo, Haiyong
作者单位	1.Univ Bern, Inst Comp Sci, Bern, Switzerland 2.Chinese Acad Sci, Inst Comp Technol, 6 Kexueyuan South Rd, Beijing 100190, Peoples R China 3.Beijing Univ Posts & Telecommun, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Qin, Yanjun,Luo, Haiyong,Jiang, Mengling,et al. A traffic pattern detection algorithm based on multimodal sensing[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2018,14(10):16.
APA	Qin, Yanjun,Luo, Haiyong,Jiang, Mengling,Zhao, Zhongliang,&Zhao, Fang.(2018).A traffic pattern detection algorithm based on multimodal sensing.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,14(10),16.
MLA	Qin, Yanjun,et al."A traffic pattern detection algorithm based on multimodal sensing".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 14.10(2018):16.