## 4 Technologies and the EU \"Sustainable and Smart Mobility Strategy\" Ambitions
The high interest in using drones for freight (and passenger) transport in the past years explains the high number of projects related to this topic. Some relevant outcomes and outlook from the analysis of links to the flagship ambitions of the EU SSMS is reported below:  
* FS 6 (\"Making connected and automated multimodal mobility a reality\") and FS 10 (\"Enhancing transport safety and security\") include most of the connected and automated transport technologies such as cockpit technologies, CAV controllers and sensor fusion technologies, road safety technologies, and ADAS platforms. These technologies thrived in H2020 research at a lower development phase (research and validation) and it is expected that they will be researched in higher development phases in the Horizon Europe FP. * FS 2 (\"Creating zero-emission airports and ports\") and FS 7 (\"Innovation, data and AI for smart mobility\") gather many network and traffic management systems technologies on air traffic management and operations optimisation. These technologies have been researched mainly on a low development phase, using also AI for traffic flow optimisation. As an outlook on FS 2, four projects that commenced in the fourth quarter of 2021 will focus on green airports and ports, as multimodal hubs in the post COVID-19 era [51]. Likewise, it is expected that projects focusing on drones will scale up, focusing for example on the further development and testing of drone last-mile solutions in the urban and sub-urban environment using automated drone fleet operations. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Technology** & **Description** & **Projects** & **FS** \\ \hline \multirow{6}{*}{Future-proof airport} & Design of airports with improved operations and monitoring of passenger movements to provide an enhanced passenger experience, improved security and greater efficiency, while having sufficient flexibility to accommodate changes in travel demand without adverse impacts on the operation. & AERFOR, AERFOR, Aerowash II, A-FOD, AIRMES, Airport IQ, AUDIO, CLAIRPORT, DEMETER, e-Airport, FLYSEC, IBiS, PJ01 & 2, 7 \\  & Air traffic management systems that can accommodate both manned and unmanned aerial vehicles without compromising safety. & 5D-AeroSafe, ADS Project, AIRPASS, AW-Drones, CLASS, COMP4 DRONES, DACUS, DRAEMS, DroC2 om, Drones4 Safety, EXTREMDRON, ICARUS, IMPETUS, INAS, LABYRINITH, MoNIfy, PercEvite, PJ05-W2 DTT, PODIUM, SAFEDRONE, SECOPS, SURVEIRON & \\ \hline \multirow{2}{*}{Intelligence and surveillance} & Innovative approaches to gathering intelligence, such as the use of autonomous vehicles (e.g., drones) and surveillance systems. & GATEMAN, PJ18 4 DTM, URClearED & 7, 10 \\ \hline \multirow{6}{*}{Air traffic operation optimisation} & Use of ATM systems to manage European airspace in such a way as to reduce environmental impacts (noise, air quality and climate) through changes to aircraft altitudes and trajectories. & ACACIA, ATM4E, ClimOP, GREAT, PJ01-W2 EAD, PJ10-W2 PROSA & 7 \\  & Use of ATM systems to manage European airspace in such a way as to reduce environmental impacts (noise, air quality and climate) through changes to aircraft altitudes and trajectories. & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: _Cont._* Collaborative logistics ecosystem technologies can help achieve the ambitions of FS 4 \"Greening freight transport\". Although this technology is researched at a low development phase (research), projects NOESIS [52] focusing on the use of big data, and SUNRISE, focusing on collaborative ways to address mobility challenges at the neighborhood level have achieved higher maturity towards deployment. * The Eco-Drive app technologies can help towards the goal of \"Boosting uptake of zero-emission vehicles, renewable & low-carbon fuels and related infrastructure\" envisioned by FS 1. This technology is researched at low maturity, with the exception of the GlobalBLED project specific to the professional fleet market focusing on deployment.