Dynamic Adjustment Strategy of Rail Guide Vehicle | Zendy

Wenbin Liu | Zendy; Dongbing Liu | Zendy

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Dynamic Adjustment Strategy of Rail Guide Vehicle

Author(s) -

Wenbin Liu,

Dongbing Liu

Publication year - 2021

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2021/1433552

Subject(s) - computer science , path (computing) , simulated annealing , point (geometry) , shortest path problem , operations research , real time computing , simulation , algorithm , computer network , engineering , graph , geometry , mathematics , theoretical computer science

For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted to find the optimal moving path of the rail guide vehicles. Drawing on the shortest path idea, the model uses the Floyd algorithm and the simulated annealing algorithm. The longest running time of the rail guide vehicles in the model is the innovation point in the paper. When the rail guide vehicles path is optimal, when the rail guide vehicles is the busiest, the system is the most efficient.

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