DI Daniel Elias holds a degree in Spatial Planning and has been working as a traffic consultant in Europe, Asia and Australia. Having the technical background in the fields of traffic planning, mobility and noise assessments as well as AI and GDPR-compliant mobility data collection he provides customized recommendations to increase the efficiency and safety of traffic network in the vicinity of airport cities.

As managing director of the company nast consulting he is responsible for stakeholder communication and the implementation of customized concepts to respond to client’s needs.

Having developed a microscopic model for the process simulation at freight terminals he is also delivering optimizations for transport hubs for clients such as ÖBB, Hafen Wien, Münzer Bioindustrie and Borealis Polyolefine.

Latest References 

AI FOR SUSTAINABLE PT – Sustainable regional public transport based on AI optimisations, 2024–2026

GMaasAI PT – Graph Based Sustainable Mobility as a Service using Artificial Intelligence, 2025–2027

FIREWISE – Knowledge management for people and machines in the Austrian fire service, 2024–2026

GEONETSEE – AI/IoT-based system of sensor networks for real-time monitoring of unstable terrain and artificial structures, 2024–2026

OPTIHUBS – Optimisation of logistics processes at multimodal hubs, 2014–2016

SIMPLE – Planning tool for ongoing operational analyses and capacity planning for passenger railways, 2017–2018

Automated survey of the utilisation of parking facilities at stations of Wiener Linien, 2022

ÖBB Terminal Wels – concept planning for the new railway freight terminal, 2021