Name
Title | ||
|---|---|---|
Using simulation to evaluate how multi-agent transportation planners cope with truck breakdowns |
Abstract | ||
|---|---|---|
In most real-world settings, a transportation plan requires modifications during execution. A thorough evaluation of transportation planning methods thus requires testing and comparison in a dynamic environment. We give conditions on a simulation environment that follow from this requirement, and propose a multi-agent simulator meeting these conditions. In addition, we propose a new measure that captures robustness in such dynamic settings. The multi-agent simulator and the robustness measure are then used to compare three different transportation methods (two multi-agent planners and one online optimization approach) in settings with release time uncertainty and truck breakdown incidents. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICNSC.2011.5874912 | Networking, Sensing and Control |
Keywords | Field | DocType |
multi-agent systems,planning (artificial intelligence),transportation,dynamic environment,multi-agent transportation planners,truck breakdowns | Truck,Industrial engineering,Computer science,Robustness (computer science),Multi-agent system,Control engineering,Online optimization,Transportation planning,Operations management | Conference |
ISBN | Citations | PageRank |
978-1-4244-9570-2 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tamás Máhr | 1 | 128 | 7.69 |
| F. Jordan Srour | 2 | 16 | 4.11 |
| Mathijs Weerdt | 3 | 411 | 41.00 |
| de Weerdt, M. | 4 | 0 | 0.34 |