PROBABILITY AND OPTIMAL CONTROL APPROACH IN ANALYSIS OF TAXI DRIVER'S MOTION STRATEGY
DOI:
https://doi.org/10.55640/Keywords:
Process research, optimal management, Markov decision process, iterative algorithm, probability, benefit function, strategic planning, taxi system, status and action, stationary strategy, service system, probability matrix, maximum profit, cost-effectiveness.Abstract
The Taxi Driver Issue is a practical model of process research and optimal management science based on Markov decision processes. This issue aims to find the optimal strategy that will give the driver the maximum benefit based on the different options of action in each city situation. Using an iterative algorithm, the optimal stationary strategy is determined based on probabilities and rewards. This article analyzes the movements between towns A, B and C and identifies the strategy of waiting for the most useful decision – queue waiting. The issue is used in the service management, transportation and logistics management sectors.
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