Name
Title | ||
|---|---|---|
Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier. |
Abstract | ||
|---|---|---|
The past few years have witnessed the rapid growth in the collection of large-scale GPS data via smartphone-based travel surveys around the world, following which transportation modes detection received significant attention. A mass of methods varying from Criteria-based rules to Machine Learning technology were employed to recognize the travel modes. However, the limited sample size, deficient fe... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2723523 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Global Positioning System,Public transportation,Automobiles,Feature extraction,Smart phones | Data mining,Statistical proof,Feature selection,Feature extraction,Public transport,Global Positioning System,Engineering,TRIPS architecture,Random forest,Sample size determination | Journal |
Volume | Issue | ISSN |
19 | 5 | 1524-9050 |
Citations | PageRank | References |
3 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bao Wang | 1 | 59 | 6.09 |
| Linjie Gao | 2 | 4 | 0.73 |
| Zhicai Juan | 3 | 4 | 1.07 |