A LiDAR-based methodology for monitoring and collecting microscopic bicycle flow parameters on bicycle facilities
Bibliographic Data
| ID | 19337913 |
|---|---|
| Authors | Ehsan Nateghinia (0000-0003-3736-4652, McGill University, corresponding author), David Beitel (0000-0002-9035-5627, McGill University), Asad Lesani (McGill University), Luis Miranda-Moreno (0000-0003-3322-1814, McGill University), Luis F Miranda-Moreno |
| Year | 2024 |
| Volume | 51 |
| Issue | 1 |
| Pages | 129-153 |
| Publication date | 2024-02-01 |
| 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/s11116-022-10322-8 |
| OpenAlex | W4306790596 |
| Language | EN |
| References cited | 24 |
Block (permutation group theory) · Calibration · Flow (mathematics) · Geography · Ground truth · Headway · Lidar · Mean squared error · Remote sensing · Simulation · Statistics · Traffic flow (computer networking) · Artificial Intelligence · Autonomous Vehicle Technology and Safety · Computer Science · Environmental Science · Mathematics · Traffic Prediction and Management Techniques · Vehicle emissions and performance
| Highly cited | No |
|---|