Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems

IEEE Transactions on Knowledge and Data Engineering(2022)

引用 17|浏览75
暂无评分
摘要
Unlike the traditional dock-based systems, dockless bike-sharing systems are more convenient for users in terms of flexibility. However, the flexibility of these dockless systems comes at the cost of management and operation complexity. Indeed, the imbalanced and dynamic use of bikes leads to mandatory rebalancing operations, which impose a critical need for effective bike traffic flow prediction....
更多
查看译文
关键词
Sparse matrices,Urban areas,Satellite broadcasting,Redundancy,Predictive models,Data models,Matrix converters
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要