Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: City-Level Traffic Flow Prediction via LSTM Networks
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
A prediction method of network traffic using time series models
Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks
Dynamic route planning with real-time traffic predictions
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction
Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks
Driving behavior classification based on sensor data fusion using LSTM recurrent neural networks
Traffic Modeling and prediction using ARIMA/GARCH model
Visualization, Selection, and Analysis of Traffic Flows
TraPlan: An Effective Three-in-One Trajectory-Prediction Model in Transportation Networks
Urban traffic modelling and prediction using large scale taxi GPS traces
Applying deep learning approaches for network traffic prediction
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks
Scene-LSTM: A Model for Human Trajectory Prediction
City traffic forecasting using taxi GPS data: A coarse-grained cellular automata model
Context-Based Pedestrian Path Prediction
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction
Massive MIMO performance evaluation based on measured propagation data
Tensor Decompositions and Applications
A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition
Greedy Search for Descriptive Spatial Face Features
Retrospective on Aurora