Research on the Application of Urban Rail Transit Route Planning in Tourism Management Based on Ant colony optimization algorithms
This study proposes a Ant colony optimization algorithms based urban rail transit path planning model for the problem of passenger routing in urban rail transit.Firstly,simplify the urban rail transit network.Then,the influencing factors of each travel time are analyzed,and the modeling is carried out by improving the Ant colony optimization algo-rithms to adapt to this study.The experimental results show that when the number of iterations is low,the accuracy of Ant colony optimization algorithms is lower than that of Yen's algorithm.With the increase of the number of iterations,the ac-curacy of Ant colony optimization algorithms exceeds that of Yen's algorithm,and quickly achieves the best performance.When the number of iterations of the Ant colony optimization algorithms model reaches 40,it achieves the best perform-ance,while the Yen's algorithm model still does not achieve the best performance.The research results show that the pro-posed Ant colony optimization algorithms based urban rail transit path planning has improved the urban traffic manage-ment level to a certain extent,and can provide more convenient choices for urban residents to travel.
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