Name
Title | ||
|---|---|---|
Validation and comparison of microscopic car-following models using beijing traffic flow data |
Abstract | ||
|---|---|---|
In this oppaper, camera calibration and video tracking technology are used to get the vehicle location information so as to calibrate the Gazis-Herman-Rothery (GHR) model and fuzzy car-following model. The detail analyses about the models' parameters and accuracy show that the fuzzy model is easy to understand and have better performance. |
Year | DOI | Venue |
|---|---|---|
2005 | null | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
fuzzy model,beijing traffic flow data,fuzzy car-following model,detail analysis,camera calibration,microscopic car-following model,video tracking technology,accuracy show,better performance,vehicle location information | Data mining,Computer science,Camera resectioning,Artificial intelligence,Beijing,Data flow diagram,Computer vision,Traffic flow,Pattern recognition,Fuzzy logic,Video tracking,Calibration,Fuzzy rule | Conference |
Volume | Issue | ISSN |
3614 LNAI | null | 16113349 |
ISBN | Citations | PageRank |
3-540-28331-5 | 1 | 0.38 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dewang Chen | 1 | 109 | 12.44 |
| Yueming Yuan | 2 | 5 | 1.18 |
| Baiheng Li | 3 | 1 | 0.38 |
| Jianping Wu | 4 | 1 | 0.38 |