TY - GEN
T1 - Using Web data to enhance traffic situation awareness
AU - Wang, Xiao
AU - Zeng, Ke
AU - Zhao, Xue Liang
AU - Wang, Fei Yue
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/14
Y1 - 2014/11/14
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84937143204
U2 - 10.1109/ITSC.2014.6957690
DO - 10.1109/ITSC.2014.6957690
M3 - 会议稿件
AN - SCOPUS:84937143204
T3 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
SP - 195
EP - 199
BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Y2 - 8 October 2014 through 11 October 2014
ER -