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Scientific Article details

Title Data-driven traffic zone division in smart city: Framework and technology
ID_Doc 36819
Authors Cai, M; Hong, LT; Xiong, C
Title Data-driven traffic zone division in smart city: Framework and technology
Year 2022
Published
DOI 10.1016/j.seta.2022.102251
Abstract The development of smart city , smart mobility has put forward requirements for the traffic zone division. The traditional traffic zone division is limited by data with low update frequency and low accuracy, which can hardly meet the needs. With the progress of ICTs, data-driven traffic zone division is developing gradually. Many scholars have tried to divide traffic zone through GPS and CDR. However, there are still shortcomings in the data -driven traffic zone division. On the one hand, different scholars use different data sources and division methods , there is no unified framework that can describe different ways. On the other hand, many technical problems such as unsatisfactory zone boundary, single data source and clustering algorithm only considering similarity have not been solved well. Therefore, this paper first proposes a technical framework for data-driven traffic zone division, which describes the different methods uniformly by dividing the data-driven traffic zone division into four parts. Based on this framework, this paper proposes a traffic zone division method based on CSD, which solves the above technical problems successfully, and finally is applied in the traffic zone division of Foshan, China.
Author Keywords Traffic zone division; Cellular signaling data; Technical framework; Balancing clustering; Smart city
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000795940800001
WoS Category Green & Sustainable Science & Technology; Energy & Fuels
Research Area Science & Technology - Other Topics; Energy & Fuels
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