Tracking systems have been developed for many different technologies in order to learn, monitor and apply to behavioral studies.This paper presents behavior monitoring using transport tracking systems based on Zigbee architecture.Transport behaviour is expected to be appeared in pattern.If the new patterns arrive at the monitor, they will be recognized and be notified automatically.More than three-times repetitive behavior is considered as normally behavioural model.To simulate the model, a neural network is employed for learning and recognizing a behavior of the transport at each.Zigbee node instead of each vehicle.Zigbee gateway matrix is used as a check point for vehicle location.