During the execution of the project the following results were performed: (i) an hybridized localization unit combining EGNSS and on board sensors enabling autonomous navigation; (ii) a GIS connected with the Terminal Operating System providing job orders and monitoring the port vehicles; and (iii) a security strategy to withstand cyber-attacks and GNSS-related threats. Four pillars contitute the focus of the advanced automated navigation solution: EGNSS global localization, local localization with onboard sensors, autonomous navigation and the integration of the three. The initial work included the selection of the GNSS localization methods and the architecture of the system and the design of the self-localization strategy based on simultaneous localization and mapping (SLAM) algorithms. Two different signal processing methods were implemented for global localization: computation of fixed estimates and computation of the displacement vector via single differences. A SLAM algorithm was developed to self-localize vehicles using the onboard sensors including data from wheel encoders, lidars, the GNSS fix, and the GNSS single differences displacement vector which renders an occupancy map online used by the navigation system. The navigation system was integrated with the previous components achieving autonomous navigation. Given the map and the localization provided by the SLAM algorithm, the trajectory planner designs collision free trajectories along the map. Specific high and low level controllers were designed for the port vehicle. Collision avoidance uses data directly from the sensors in real time with the objective of avoiding dynamic obstacles not included in the initial map. The GIS solution interfaced to existing TOS via a well-established interface providing vehicle geolocation on yard map as well as continuous monitoring of vehicles load status. The system includes a Planning module providing job assignments to port vehicles and their routing, taking into account collision avoidance criteria. GNSS-related and cyber-attack countermeasures were developed by a software solution for auto-detection of spoofing/jamming attacks of the GNSS signal and identifying measures to enforce the IT security taking into account the pertaining guidelines from ISO 27000 family. GNSS signal threats (i.e. jamming, spoofing) are detected looking for signal anomaly. Detection algorithms were selected in compliance with relevant regulations and implemented using a GNSS software-defined receiver and tested progressively by functional testing of jamming and spoofing detection.