- Project ID PJ03a SUMO
- Project duration 2016-12-01 > 2019-12-31
- Total EUR 19 765 413,73
- EU Contr. EUR 2 621 601,23
- Status Closed
The future European ATM system relies on full integration of airports as nodes into the network. In this context, the integrated surface management project (PJ.03a) aims to identify and validate operational and technological solutions aiming at enhancing airport operations.
One of the main objectives is to improve the predictability of ground operations in all weather conditions. The implementation of collaborative decision making process involving all relevant stakeholders will ensure an optimisation of airport resources allocation. This feature will rely on enhanced integration between aircraft and ground systems which is expected to be achieved through the full implementation of the SWIM concept.
It is also important to increase the efficiency and safety of airport operations by improving the current infrastructures and CNS systems. The availability of more accurate navigation information through the use of GNSS (augmented) systems, an automated switching of taxiway lights and (virtual) stop bars according to the AGL service, data link information exchange between controllers and pilots/vehicle and the on-board availability of advanced vision systems will result in an increased situational awareness with an impact on safety.
PJ.03a will also focus on the integration of RPAS surface operations into airport operations to ensure, to the maximum extent possible, their compliance with the existing rules and regulations defined for an environment dominated by manned aviation.All these aspects will be assessed through ad hoc validation activities (both FTS and RTS) in different airport environments with different validation platforms to increase the significance of the results based on a broad range of representative layouts.
Surface Operation by RPAS (RPAS airport operations with use of Airport Moving Map for RPAS Ground Control Station)
This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 734153