A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2977219
Abstract: Accurate and efficient lane-level traffic flow prediction is a challenging issue in the framework of the connected automated vehicle highway system. However, most existing traffic flow forecasting methods concentrate on mining the spatio-temporal characteristics of… read more here.
Keywords: level traffic; model; lane level; traffic ... See more keywords
Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model
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DOI: 10.1109/tits.2020.3038457
Abstract: Lane-level traffic state prediction is one of the most essential issues in the connected automated vehicle highway systems. Accurate and timely traffic state prediction of the lane sections can assist the connected automated vehicles in… read more here.
Keywords: traffic; level traffic; model; traffic speed ... See more keywords