This scenario depicts a logistical network with 7 nodes (towns) and 9 edges (routes), on which transport goods (e.g. automobiles, parcels, foodstuffs) and means of transport (freight vehicles), in part represented by model cars in a 1:16 scale and in part by humans, as actors in the scenarios. It is the task of the freight vehicles to deliver parcels from node A to node B. The transport goods (participants in the scenario) can select target destinations by entering the appropriate data in their PDA.
First, the nearest freight vehicle which is suitably equipped (e.g. a refrigerated container for the transportation of food stuffs) will receive a request for the cargo. Then the participant playing the role of freight vehicle has to make a decision whether to accept the request under consideration of “current cargo”, “reservation”, and “routing” factors. Should the particular freight vehicle not come to a decision within the allocated timeframe, the request will be passed on to other potentially available freight vehicles. Once a freight vehicle has accepted the assignment, supporting software elements are activated which together with the participant will act as the intelligence of the specific logistical object, in this way expanding their decision-making capacity with respect to autonomous logistical processes and hence demonstrating the decentralised decision making capacity of the object. This, for instance, comprises the route planning implemented for the freight vehicle, continuously reassessing and optimising the route in order to minimise the occurrence of empty loads and to avoid obstructions, such as traffic congestion. Should a fault be detected in the refrigeration aparatus, the transport good is able to cancel the assignment and be unloaded at the next possible location. In this way the transport good may choose another more appropriate means of onward transportation. Furthermore, by means of RFID technology a preliminary exchange of information takes place between the means of transport, which is equipped with an RFID reader, and the transport good, which communicates its information via an RFID tag. This technique, for instance, enables automatic cargo recognition and therefore fully autonomous refrigerated containers. The constant information exchange between means of transport and transport good via WiFi allows each side to reach instant decisions regarding the transport and to communicate these to each other.
The entire structure of the demonstration scenario has been visualised; this enables the visitor to follow the events on a large screen and to gain a perspective on the extent of information exchange taking place during the course of events.