Title | ||
---|---|---|
An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike |
Abstract | ||
---|---|---|
With the advancement of communication technology and location acquisition technology in the context of modern smart cities, the sharing bike systems offer users the great autonomy and convenience for the last/first-kilometer trip. Meanwhile, we can now able to collect, store, and analyze a large amount of sharing bike data. How to effectively use these massive data to provide better services is an... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TITS.2020.3008935 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Machine learning,Task analysis,Neural networks,Smart cities,Convolution,Predictive models,Internet of Things | Journal | 22 |
Issue | ISSN | Citations |
7 | 1524-9050 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei Wang | 1 | 5 | 0.81 |
Xiaofeng Zhao | 2 | 8 | 1.47 |
Zhiguo Gong | 3 | 726 | 67.16 |
Zhikui Chen | 4 | 692 | 66.76 |
Ning Zhang | 5 | 744 | 59.81 |
Wei Wei | 6 | 507 | 68.07 |