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Publications: Predicting Citywide Passenger Demand

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics

The global urbanization imposes unprecedented pressure on urban infrastructure and public resources. The population explosion has made it challenging to satisfy the daily needs of urban residents.

Reinforcement Learning Spatio-Temporal Dynamics Predicting Citywide Passenger Demand Spatiotemporal

Keywords

sensor [21]
mobile [12]
behaviour [10]
Occupancy Prediction [9]
Pattern recognition [9]
trajectory [9]
Analysis [9]
Sensor Data [8]
context [8]
time series [8]

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Publications: Predicting Citywide Passenger Demand

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics