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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
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
Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks
PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction
Maritime Target Trajectory Prediction Model Based on the RNN Network
Electric Power-Train Pre-fault Detection Using AI with IoT
Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou
Short-Term Load Forecasting Model Based on Multi-label and BPNN
Intelligent Traffic Congestion Prediction System Based on ANN and Decision Tree Using Big GPS Traces