Taxi Intelligent Dispatching System Based on Spatiotemporal Big Data Analysis
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.
intelligent scheduling systemspatiotemporal big datamachine learning algorithm
万方数据
维普
