Key Technology of Traffic Data Collection, Repair and Mining

Authors

Xiaoxia Wang, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, P.R. China; MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing, 100044, P.R. ChinaFollow
Zhanqiang Li, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, P.R. China

Abstract

The big data revolution radically transforms how cities monitor, manage, and enhance the livability of our society. A successful smart city will be one in which the public agencies, businesses and people are able to make informed decisions and respond to dynamic conditions based on real-time sensing and data analytics. The paper listed some gathering methods for traffic data, and preprocessed the collected data according to their missing feathers; then conducted several repair methods and evaluated their repair effects; finally constructed an integrated platform for traffic data mining. The purpose of the paper is to present some technique for the exploration of traffic data in an intelligent transportation system.

Recommended Citation

Wang, Xiaoxia and Li, Zhanqiang, "Key Technology of Traffic Data Collection, Repair and Mining" (2017). WHICEB 2017 Proceedings. 22.
https://aisel.aisnet.org/whiceb2017/22