Name
Abstract | ||
|---|---|---|
Understanding the movement patterns of humans and vehicles traveling in a city is important for many applications like emergency evacuation and rescue, as well as city planning and management. In this paper, we aim to predict citywide crowd flows within a period in the future to give aid to urban management, through modeling spatiotemporal patterns of recent crowd flows. We present a novel deep mo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDE51399.2021.00026 | 2021 IEEE 37th International Conference on Data Engineering (ICDE) |
Keywords | DocType | ISSN |
Crowd flow prediction,Convolutional LSTM,User Mobility,Attention Mechanism | Conference | 1084-4627 |
ISBN | Citations | PageRank |
978-1-7281-9184-3 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi Harold Liu | 1 | 1091 | 72.90 |
| Chengzhe Piao | 2 | 47 | 2.73 |
| Xiaoxin Ma | 3 | 0 | 0.34 |
| Ye Yuan | 4 | 117 | 24.40 |
| Jian Tang | 5 | 1095 | 74.34 |
| Guoren Wang | 6 | 1366 | 159.46 |
| Kin K. Leung | 7 | 2463 | 183.60 |