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KAMAG lending its unrivalled expertise in the area of autonomous transport and automation

for the "Smart Air Cargo Trailer" research project

Shipments are transported by truck between air freight forwarding hubs at airports or near airports and the various handling agents. Due to volatile air freight volumes and the high degree of division of labour with partially counteractive optimization efforts for service performance and cost minimization of the parties involved, inefficiencies do occur. These include, for example, low utilization of transport resources or long waiting times for truck dispatching. Due to frequently missing data transmission which has been sent in advance along with breaks in the flow of information, this very often results in volume or handling peaks. This ties up unnecessary handling capacities for the handling agents and leads to long, incalculable waiting times at the ramps. In the case of freight forwarders, this means that truck transports are arranged or assigned which are only fully utilized to a small extent. This, in turn, places an additional burden on the transport system and handling resources.

The aim of the "Smart Air Cargo Trailer" research project is therefore, as defined by the "Internet of Things" (IoT), to achieve a better use of resources and efficiency enhancement via the process control using object-immanent data and logistical object information. These are stored in the process chain not only regarding individual shipments but also, for example, for trailers or swap bodies used for a transport assignment. In addition, a prototypical application of fully digital and autonomous transports within an airport´s operational area with mixed traffic should be achieved. Within the airport premises, these autonomous transports are requested independently and according to needs. The autonomous vehicles pick up the trailer and bring it to the appropriate ramp destination of the forwarder or handling agent. The ramp and handling processes of the handling agents are thus decoupled from the transport processes and can be individually optimized by the parties involved.

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