Name
Title | ||
|---|---|---|
Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization. |
Abstract | ||
|---|---|---|
As increasing volumes of urban data are being available, new opportunities arise for data-driven analysis that can lead to improvements in the lives of citizens through evidence-based policies. In particular, taxi trip is an important urban sensor that provides unprecedented insights into many aspects of a city, from economic activity, human mobility to land development. However, analyzing these d... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2771262 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Public transportation,Urban areas,Global Positioning System,Matrix decomposition,Tools | Data mining,Computer vision,Point process,Matrix decomposition,Public transport,Factorization,Global Positioning System,Artificial intelligence,Engineering,TRIPS architecture,Land development,Sparse matrix | Journal |
Volume | Issue | ISSN |
19 | 10 | 1524-9050 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junbiao Pang | 1 | 193 | 15.81 |
| Jing Huang | 2 | 1 | 0.68 |
| Xue Yang | 3 | 15 | 10.21 |
| Zuyun Wang | 4 | 1 | 0.34 |
| Haitao Yu | 5 | 2 | 1.71 |
| Qingming Huang | 6 | 3919 | 267.71 |
| Baocai Yin | 7 | 1 | 0.34 |