The traffic semantics concept was proposed and the representation framework was described.
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Call detail record (CDR) data can reflect the users’ mobility behavior.
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A K-means clustering method was used to divide the commuting traffic zones based on the CDR data.
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Traffic zone attribute-index was proposed to indicate the preference on working or residential.
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This paper provides an algorithm for transportation planning agencies in land use planning.