In order to solve the problems of capacity system paralysis,unreasonable pricing decisions and waste of resources caused by the surge of taxi orders,a new generation of intelligent scheduling system based on spatiotemporal big data analysis is proposed.The system uses the Adaptive Boosting machine algorithm to solve the problem of data fitting and law unification.The results show that the scheduling system based on Adaptive Boosting tripartite model is extremely effective in improving scheduling efficiency,reducing waiting time and optimizing resource allocation.
关键词
智慧调度系统/时空大数据/机器学习算法
Key words
intelligent scheduling system/spatiotemporal big data/machine learning algorithm
维普
万方数据