#humanBehaviour #demandmodelling #Prediction
Predictive demand is crucial when planning the city. Knowing how drivers, pedestrians, or traffic itself will behave after the implementation of certain measures constitutes a supporting tool for city decision makers. In this sense, Movēre’s simulation algorithms and analysis are adapted for each case and performed under MATSim (ETH Zurich developed) open-source framework, as a demonstrated reliable tool for implementing large-scale agent-based transport simulations.
Framework for demand-modelling are some of the solutions in movēre to simulate human behaviour and support planning decisions. As agent-based modelling, the simulations have the ability to predict decisions per unit (commuter) and its interaction with other agents in the model.
Analysis are powered by MATSim, a ETHZ developed open-source software to implement large-scale agent-based transport (Public and Private) simulations
Furthermore, modelling goes beyond the traffic itself and support further analysis such as road collisions analysis or noise modelling
All in all, modelling support decisions by evaluating existing conditions and projecting future effects and needs