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- W2389357468 abstract "Vehicle path planning is a typical combinatorial optimization problem, a new type of bionic algorithm-ant colony algorithm, very appropriate to solve the Vehicle path planning, because of its positive feedback, robustness, parallel computing, collaboration features.In view of the empty taxi problem, this article raised the issue of control of the idea of the taxi,by using the Global Information System(GIS), through the establishment of the SMS platform and reasonable taxi dispatch control center, combining ant colony algorithm to find the most recent no-load passengers from the taxi, but also empty taxi that is given to the passengers the best path, and through the realization of the Matlab simulation. By use this,the taxi can avoid the no-load problem effectively, so that the human and material resources can also achieve savings." @default.
- W2389357468 created "2016-06-24" @default.
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- W2389357468 date "2009-01-01" @default.
- W2389357468 modified "2023-09-23" @default.
- W2389357468 title "Ant Colony Algorithm-Based Taxi to Explore the Issue of Zero-Empty" @default.
- W2389357468 hasPublicationYear "2009" @default.
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