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MISSING DATA TREATMENT AND DATA FUSION TOWARD TRAVEL TIME ESTIMATION FOR ATIS
2005
Journal of the Eastern Asia Society for Transportation Studies
This study develops a travel time estimation process by integrating a missing data treatment and data-fusion-based approaches. In missing data treatment, this study develops a grey time-series model and a grey-theory-based pseudo-nearest-neighbor method to recover, respectively, temporal and spatial missing values in traffic detector data sets. Both spatial and temporal patterns of traffic data are also considered in travel time data fusion. In travel time data fusion, this study presents a
doi:10.11175/easts.6.2546
fatcat:oghxvmk2cvg2nogvkk6pmu53d4