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Forecasting
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Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM
Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City
Pedestrian Crossing Prediction Based on Invariant Feature Extraction of Cross-Spectral Images
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Traffic Congestion Prediction Using Categorized Vehicular Speed Data
The Facets of Machine Learning in Lane Change Prediction of Vehicular Traffic Flow
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Verbundvorhaben "iMove" : Schlussbericht : Laufzeit des Vorhabens: von: 01.01.2017 bis: 31.12.2020
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles
Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution