Frontier application of big data for China to build strong transportation network
HU Qingyong1, LI Ganshan2, PEI Zhongzhe3
1. Institute for Data Science, Tsinghua University, Beijing 100084, China;
2. Institute of Road Traffic Management Science and Technology of Yunnan Province, Kunming 650011, China;
3. Netcommander(Beijing) Technology Limited Corporation, Beijing 100101, China
Abstract：In order to effectively achieve the goal of building China into a country with strong transportation network, this paper explores the role of big data technology, its application methods, and prospects in the fields of transportation management, traffic safety, traffic information service, transportation planning, and public transportation. Some cutting-edge technologies, such as situation awareness(SA) system based on CPS, multimodal transportation knowledge graph(KG) based on dynamic ontology, and intelligent video recognition based on edge computing and deep learning, are covered. The overall big data engineering framework and implementation methods are also analyzed, and relevant application scenarios are provided.
胡庆勇, 李淦山, 裴钟哲. 大数据在交通强国建设中的应用[J]. 科技导报, 2020, 38(9): 39-46.
HU Qingyong, LI Ganshan, PEI Zhongzhe. Frontier application of big data for China to build strong transportation network. Science & Technology Review, 2020, 38(9): 39-46.