Research Article
Multiagent Reinforcement Learning-Based Taxi Predispatching Model to Balance Taxi Supply and Demand
| Require: the matrix to be processed by the dispatching algorithm | | Ensure: scheduling map obtained by algorithms | | (1) | function Matrix_process | | (2) | if can be handled by the computing resources at hand then | | (3) | processing the with the WOLF-PHC-based dispatch algorithm | | (4) | return scheduling map obtained by the algorithm | | (5) | else | | (6) | Divide the matrix into two smaller ones and | | (7) | Matrix_process | | (8) | Matrix_process | | (9) | get the result by merging the and | | (10) | end if | | (11) | return | | (12) | end function |
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