Name
Title | ||
|---|---|---|
A Novel Approach to Estimate Freeway Traffic State: Parallel Computing and Improved Kalman Filter. |
Abstract | ||
|---|---|---|
This paper presents a novel approach for freeway traffic state estimation. Although there is currently a wide variety of estimation methods, new designs and technologies can still be created and implemented to improve the accuracy and time efficiency. In this study, a parallel computing framework is developed. The parallel computing framework uses a genetic algorithm process to calibrate the param... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MITS.2018.2806627 | IEEE Intelligent Transportation Systems Magazine |
Keywords | Field | DocType |
Computational modeling,Calibration,Data models,Detectors,State estimation,Traffic control | Data modeling,Extended Kalman filter,Field data,Parallel computing,Kalman filter,Engineering,Detector,Genetic algorithm,Calibration,Taylor series | Journal |
Volume | Issue | ISSN |
10 | 2 | 1939-1390 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chong Wang | 1 | 2 | 0.70 |
| Bin Ran | 2 | 194 | 31.52 |
| Han Yang | 3 | 6 | 3.66 |
| Jian Zhang | 4 | 6 | 4.96 |
| Xu Qu | 5 | 1 | 0.36 |