Using Web data to enhance traffic situation awareness

CASIA OpenIR > 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

	Using Web data to enhance traffic situation awareness
	Xiao Wang1 ; Ke Zeng 2; Xue-Liang Zhao1 ; Fei-Yue Wang1
	2014
会议名称	Intelligent Transportation Systems (ITSC), 2014 IEEE 19th International Conference on
会议录名称	IEEE International Conference on Intelligent Transportation Systems (ITSC)
页码	195 - 199
会议日期	Oct. 8-11.2014
会议地点	Qingdao, China
摘要	; With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and manage traffic flows. In this paper, we use natural language processing and data mining technologies to extract traffic jam related information from Tianya.cn, analyze the content of people’s talk to discover the “talking point” of people when facing traffic jams, and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5100
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.The State Key Laboratory of Management and Control of Complex Systems, Institute of Automation,Chinese Academy of Science 2.The School of Electronic and Information Engineering, Xi'an Jiaotong University
推荐引用方式 GB/T 7714	Xiao Wang,Ke Zeng,Xue-Liang Zhao,et al. Using Web data to enhance traffic situation awareness[C],2014:195 - 199.

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