Representing and Inferring Massive Network Traffic Condition: A Case Study in Nashville, Tennessee
Hairuilong Zhang,
Yangsong Gu,
Lee D. Han
Abstract:Intelligent transportation systems (ITSs) usually require monitoring of massive road networks and gathering traffic data at a high spatial and temporal resolution. This leads to the accumulation of substantial data volumes, necessitating the development of more concise data representations. Approaches like principal component analysis (PCA), which operate within subspaces, can construct precise low-dimensional models. However, interpreting these models can be challenging, primarily because the principal compon… Show more
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