Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Traffic prediction in a bike-sharing system
Cityride: A Predictive Bike Sharing Journey Advisor
POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction
B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces
A bayesian network approach to traffic flow forecasting
analysing bicycle sharing system user destination choice preferences : an investigation of chicago ’ s divvy system .
Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction
Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study
Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data
Inventory rebalancing through pricing in public bike sharing systems
A Dynamic Model for Traffic Flow Prediction Using Improved DRN
Mobility Prediction Using Non-Parametric Bayesian Model
A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries
Bike sharing station placement leveraging heterogeneous urban open data
Big-data-generated traffic flow prediction using deep learning and dempster-shafer theory
Parking availability prediction for sensor-enabled car parks in smart cities
2008-01-0201 Route Prediction from Trip Observations
Situation Aware Multi-task Learning for Traffic Prediction
Pedestrian-movement prediction based on mixed Markov-chain model
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms
Bike sharing systems: Solving the static rebalancing problem
Human gut microbiota: the links with dementia development
CASH DEMAND FORECASTING FOR ATM USING NEURAL NETWORKS AND SUPPORT VECTOR REGRESSION ALGORITHMS
Software stacks for mixed-critical applications: Consolidating IEEE 802.1 AVB and time-triggered ethernet in next-generation automotive electronics
Additive Logistic Regression: a Statistical View of Boosting
DISEASE PREDICTION BY MACHINE LEARNING OVER BIG DATA FROM HEALTHCARE COMMUNITIES