Hamburg is the second-largest city in Germany with a total population of 2 million inhabitants. As Hamburg aspires to become a Digital City, it has prioritized the generation and utilization of extensive data from various sectors to shape the city's future. The Urban Data Platform Hamburg (UDP_HH) serves as a technological "data hub," receiving, filtering, distributing, and analyzing data from diverse sources in a decentralized manner.
Key insights from the implementation of real-time data into the Urban Data Platform as a basis for urban digital twins for smart traffic management in Hamburg, Germany will be presented. Transportation-related data, including traffic counts, bike-sharing, EV charging, cyclist counts, and even real time traffic light data have been integrated into the UDP_HH building the basis for specific urban digital twins.
By harnessing the power of artificial intelligence, solutions built upon the UDP_HH data facilitate optimal traffic scenarios for different stakeholders. In the PrioBike project, for example, this data is used to speed up bicycle traffic providing Green Light Optimized Speed Advisory Systems.
This presentation provides practical insights gained from the ongoing production-level implementation of real-time data into urban data platforms for urban digital twins in Hamburg. The experience of Hamburg offers valuable lessons and best practices for cities aiming to leverage real-time data platforms and urban digital twins to achieve sustainable urban mobility and enhance traffic planning strategies. The findings presented here contribute to the practical knowledge base in the field of implementing real-time urban data solutions for smart cities.