Name
Abstract | ||
|---|---|---|
The problem of clearing congestion situations in freeway traffic is addressed for both an N-stage and an infinite-stage control horizon (in the latter case, a receding-horizon control mechanism is used). Traffic is controlled by regulating the vehicle access to the freeway and by limiting the vehicle speed by means of variable message signs. To describe the traffic behavior, a "classical" macrosco... |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/25.917952 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Neurofeedback,Optimal control,Traffic control,Control systems,Microscopy,Communication system traffic control,Road vehicles,Constraint optimization,State feedback,Functional programming | Gradient method,Optimal control,Traffic flow,Control theory,Computer science,Nonlinear programming,Approximation theory,Artificial neural network,Free parameter,Feed forward | Journal |
Volume | Issue | ISSN |
50 | 1 | 0018-9545 |
Citations | PageRank | References |
13 | 4.06 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Di Febbraro | 1 | 77 | 10.54 |
| T Parisini | 2 | 935 | 113.17 |
| Simona Sacone | 3 | 129 | 32.17 |
| R. Zoppoli | 4 | 279 | 51.51 |