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Forecasting
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Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Ride-pooling demand prediction: A spatiotemporal assessment in Germany
Verbundvorhaben "iMove" : Schlussbericht : Laufzeit des Vorhabens: von: 01.01.2017 bis: 31.12.2020
Verbundvorhaben "iMove" : Schlussbericht : Laufzeit des Vorhabens: von: 01.01.2017 bis: 31.12.2020
Modeling bike-sharing demand using a regression model with spatially varying coefficients
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
Addressing transit mode location bias in built environment-transit mode use research
Reliability Approach for the Power Semiconductor Devices in EV Applications
Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks
PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction