Research Article
Context-Aware Services Using MANETs for Long-Distance Vehicular Systems: A Cognitive Agent-Based Model
Table 2
Entities, state variables, and scales defined in the system.
| Entities | States | Definitions |
| Global factors | Trucks/vehicle agents | N (input) | Checkpoints | Fixed (14) | Vans/rest areas per checkpoint | Fixed (1 for each type) | Breakdowns in vehicles | Variable | Congestion probability | Variable |
| Patches | Patch type/colour | Weather/congestion/road | Width | 401 units | Height | 41 units (4–5 lanes) |
| Trucks | Type | Shape (load, speed) | Location | X-Cor. Y-Cor. | Max-speed | 0.8 units | Min-speed | 0.001 units (0 units) | Load | Heavy, medium, light | Travel time | T units | Current checkpoint | 0-N (checkpoints) | Rest time | T units | Time in breakdown/stoppages | T units |
| Med. van pol. Vans mob. workshop checkpoints | Location | X-Cor. Y-Cor. | Max-speed | 0.8 units | Min-speed | 0.001 units (0 units) | Status | Y/N | Checkpoint | Y/N (radius) | Cases handled | 1−N | Congestion time | T units |
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