Traffic Simulation and Analysis with a Digital Twin: the MARS Group on the Roads of Hamburg
Designing a fully-fledged digital twin of the vehicle traffic and transportation network of the city of Hamburg is, at best, a tall order. But the MARS Group, on behalf of the Hamburg, is currently working on accomplishing just that – and things have been heading in a great direction so far. In creating an agent-based model that includes road networks resembling those of the city as well as vehicle agents capable of traveling along those roads according to real-life traffic rules, regulations, and restrictions, the MARS Group hopes to be able to simulate and analyse the consequences of traffic jams, lane closures and roadblocks due to construction or accidents, and other traffic incidents. Each vehicle agents operates autonomously and according to the current circumstances of its environment, relying on algorithms and artificial intelligence built into the model to determine the best course of action for achieving its specific goal. The big data sets that come out of these models include each agent’s movement and behaviour during each time unit of the simulation, allowing for deep and detailed analysis of any pertinent issues at hand.
Check out this report by NDR Info on the project, including interviews with the project leader Prof. Dr. Thomas Clemen and research associate Julius Weyl.
Source: “Die Durchblicker: Verkehrssimulation mit digitalem Zwilling”. NDR Info [Radio], 9.1.2019.