Name
Abstract | ||
|---|---|---|
A method for the identification of a freeway macroscopic model is presented. The model is based on the idea of dividing a freeway trunk in sections covered by the cells of the wireless network and associated with state variables describing density of vehicles, mean velocity, and percentage of active mobile phones. Using the density and hand-off measurements from the cellular network, the parameters of such model are identified via an algorithm based on stochastic approximation. Successful simulation results are reported and discussed |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ACC.2006.1657310 | Minneapolis, MN |
Keywords | DocType | Volume |
identification,freeway trunk,wireless network,mobile phones,freeway macroscopic models,cellular network,mobile radio,road traffic,detectors,stochastic approximation,wireless networks,stochastic processes,base stations,nonlinear equations,vehicle dynamics,approximation algorithms,cost function | Conference | 1-12 |
ISSN | ISBN | Citations |
0743-1619 | 1-4244-0210-7 | 2 |
PageRank | References | Authors |
0.47 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Alessandri | 1 | 312 | 27.63 |
| R. Bolla | 2 | 66 | 8.51 |
| A. F. Grassia | 3 | 2 | 0.47 |
| M. Repetto | 4 | 83 | 19.34 |