In view of the passenger travel demand changing from popularization to high quality and customization, a customized passenger route planning method with multi-departure point and multi-arrival point is proposed, and a customized passenger route optimization model with the minimum total cost for enterprise operation and passenger travel time is established. An improved genetic algorithm is proposed to solve the optimization model. Finally, the feasibility of the optimization method and the effectiveness of the improved genetic algorithm are verified by a practical case.
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Research on Customized Passenger Route Optimization Based on Improved Genetic Algorithms
Semantic Scholar · Environmental Science · 2021
Abstract
In view of the passenger travel demand changing from popularization to high quality and customization, a customized passenger route planning method with multi-departure point and multi-arrival point is proposed, and a customized passenger route optimization model with the minimum total cost for enterprise operation and passenger travel time is established. An improved genetic algorithm is proposed to solve the optimization model. Finally, the feasibility of the optimization method and the effectiveness of the improved genetic algorithm are verified by a practical case.