Using Web data to enhance traffic situation awareness
Xiao Wang1; Ke Zeng2; Xue-Liang Zhao1; Fei-Yue Wang1
2014
Conference NameIntelligent Transportation Systems (ITSC), 2014 IEEE 19th International Conference on
Source PublicationIEEE International Conference on Intelligent Transportation Systems (ITSC)
Pages195 - 199
Conference DateOct. 8-11.2014
Conference PlaceQingdao, China
Abstract
; 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.
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5100
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Affiliation1.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
Recommended Citation
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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