A hybrid HMM model for travel path inference with sparse GPS samples
Bibliographic Data
| ID | 19339458 |
|---|---|
| Authors | Erdem Ozdemir (0000-0002-1349-843X, Ankara Yıldırım Beyazıt University, corresponding author), Ahmet E Topcu (0000-0003-1929-5358, Ankara Yıldırım Beyazıt University), Mehmet Kemal Ozdemir (0000-0002-9054-0005, İstanbul Şehir University) |
| Year | 2018 |
| Volume | 45 |
| Issue | 1 |
| Pages | 233-246 |
| Publication date | 2018-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transportation (JOURNAL) |
| Journal identifiers | ISSN: 0049-4488 • E-ISSN: 1572-9435 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11116-016-9734-2 |
| OpenAlex | W2527617741 |
| Language | EN |
| Citations received | 3 |
| References cited | 21 |
Algorithm · Data mining · Global Positioning System · Hidden Markov model · Inference · Path (computing) · Trajectory · Artificial Intelligence · Automated Road and Building Extraction · Computer Science · Human Mobility and Location-Based Analysis · Traffic Prediction and Management Techniques
Identifying the collaborative scheduling areas between ride-hailing and traditional taxi services based on vehicle trajectory data
An innovative supervised learning structure for trajectory reconstruction of sparse LPR data
Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |