Traffic zone division based on big data from mobile phone base stations
The traffic semantics concept was proposed and the representation framework was described. Call detail record (CDR) data can reflect the users mobility behavior. A K-means clustering method was used to divide the commuting traffic zones based on the CDR data. Traffic zone attribute-index was proposed to indicate the preference on working or residential. This paper provides an algorithm for transportation planning agencies in land use planning.
traffic zone division call detail record (cdr) data mobile telephones traffic semantic analysis traffic zone attribute index travel patterns