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.

EntitiesStatesDefinitions

Global factorsTrucks/vehicle agentsN (input)
CheckpointsFixed (14)
Vans/rest areas per checkpointFixed (1 for each type)
Breakdowns in vehiclesVariable
Congestion probabilityVariable

PatchesPatch type/colourWeather/congestion/road
Width401 units
Height41 units (4–5 lanes)

TrucksTypeShape (load, speed)
LocationX-Cor. Y-Cor.
Max-speed0.8 units
Min-speed0.001 units (0 units)
LoadHeavy, medium, light
Travel timeT units
Current checkpoint0-N (checkpoints)
Rest timeT units
Time in breakdown/stoppagesT units

Med. van pol. Vans mob. workshop checkpointsLocationX-Cor. Y-Cor.
Max-speed0.8 units
Min-speed0.001 units (0 units)
StatusY/N
CheckpointY/N (radius)
Cases handled1−N
Congestion timeT units