Litcius/Paper detail

Short-Term Traffic Flow Prediction Based on LSTM-XGBoost CombinationModel

Xijun Zhang, Qirui Zhang

2020Computer Modeling in Engineering & Sciences42 citationsDOIOpen Access PDF

Abstract

According to the time series characteristics of the trajectory history data, we predicted and analyzed the traffic flow. This paper proposed a LSTMXGBoost model based urban road short-term traffic flow prediction in order to... | Find, read and cite all the research you need on Tech Science Press

Topics & Concepts

Term (time)Traffic flow (computer networking)Computer scienceTrajectoryFlow (mathematics)Time seriesSeries (stratigraphy)Artificial intelligenceSimulationMachine learningComputer securityMathematicsGeologyGeometryPaleontologyQuantum mechanicsPhysicsAstronomyTraffic Prediction and Management TechniquesAdvanced Computational Techniques and Applications
Short-Term Traffic Flow Prediction Based on LSTM-XGBoost CombinationModel | Litcius