Traffic Information Estimation Methods Based on Cellular Network Data
Traffic Information Estimation Methods Based on Cellular Network Data is an in-depth discussion of the estimation methods used in traffic information systems. Covering essential topics such as research background, data limitations and sources, as well as a literature review, this comprehensive title also discusses methods for Intelligent Transportation Systems and proposes three traffic information estimation methods: HO (Handover)-based, Fingerprint Positioning Algorithm (FPA)-based, and Cell Probe (CP)-based methods.
Abel C. H. Chen received his PhD in information management from National Chiao Tung University, Taiwan, in 2013. He is currently Senior Research Fellow at the Information & Communications Security Laboratory of Chunghwa Telecom Laboratories, Taiwan. He has served as a professor at National Tsing Hua University, National Chiao Tung University, and National Taipei University in Taiwan, Fuzhou University and Dalian Maritime University in China, and the American Alliance for International Education in the USA. He has led several projects on intelligent transportation systems and deep learning. His research interests include the Internet of Things, network security, and machine learning.
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