Multiagent Reinforcement Learning-Based Taxi Predispatching Model to Balance Taxi Supply and Demand

Table 1

Taxi data description.

Fields	Description
Car_id	Unique code to identify each vehicle
State	The state of a taxi: 1 means that the taxi is vacant and 0 means that it is occupied
Time	The sample timestamp “YYYY-MM-DD HH:MM:SS”
Longitude	Longitude of the sampling position
Latitude	Latitude of the sampling position
Speed	Instantaneous speed at the sampling time