Name
Title | ||
|---|---|---|
Estimation of urban traffic conditions using an Automatic Vehicle Location (AVL) System |
Abstract | ||
|---|---|---|
The aim of this paper is to develop an Information Extension Model (IEM) which uses location data of bus fleets (AVL data) to estimate road traffic conditions and provide input for implementing control strategies. The IEM consists of three sub-models: the Link Traffic Condition Model (LTCM), the AVL Adaptation Model (AVLAM) and the Network Traffic Condition Model (NTCM). The first provides road traffic conditions as a function of mass-transit traffic conditions in the case of shared lanes, the second provides mass-transit traffic conditions as a function of AVL data, and the last provides road traffic conditions over the whole road network as a function of mass-transit traffic conditions. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.ejor.2007.12.053 | European Journal of Operational Research |
Keywords | Field | DocType |
Control,Management information systems,Simulation,Transportation,Travel demand estimation | Traffic optimization,Traffic generation model,Management information systems,Simulation,Floating car data,Road traffic,Traffic congestion reconstruction with Kerner's three-phase theory,Traffic conditions,Mathematics,Automatic vehicle location | Journal |
Volume | Issue | ISSN |
196 | 2 | 0377-2217 |
Citations | PageRank | References |
9 | 1.07 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca D’Acierno | 1 | 50 | 5.99 |
| Armando Cartenì | 2 | 24 | 2.22 |
| Bruno Montella | 3 | 67 | 6.14 |