摘要
共享单车运行过程中积累了海量数据,使用基于MCC的神经网络技术处理这些海量数据,挖掘其中包含的有用信息,科学制定共享单车管制措施。根据各城区共享单车的历史分布和预测,确定共享单车的投放量,以最小的共享单车资源满足市民的出行需求。监控、对比、宣传各城区共享单车乱停乱放现象,建立市民争相文明出行的氛围,提升共享单车综合管理水平。
Massive data are accumulated in the process of sharing bicycles.MCC-based neural network technology is used to process these massive data,mining useful information contained therein,and scientifically formulating control measures for sharing bicycles.According to the historical distribution and prediction of shared bicycles in urban areas,the amount of shared bicycles is determined to meet the travel needs of citizens with the minimum shared bicycle resources.Monitor,compare and publicize the phenomenon of sharing bicycles in disorderly parking in urban areas,establish a civilized atmosphere for citizens to travel,and improve the level of comprehensive management of sharing bicycles.
作者
韦蕊
Wei Rui(Xi'an Peihua University,Xi'an Shaanxi 710125,China)
出处
《信息与电脑》
2019年第12期152-153,共2页
Information & Computer
