Spatio-temporally complementary feature propagation on graphs for longitudinal AADT estimation
A novel spatio-temporally complementary feature propagation framework that leverages the strengths of two distinct data sources: spatially sparse but temporally dense loop detector data, and a spatially complete but temporally sparse macroscopic transportation model is proposed.
Ling-Hang Sun, Qi-Shen Zhou, M. Makridis et al.
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