A tool has been designed that allows individuals without specialized technical knowledge to create and execute complex urban mobility simulations using natural language. The system interprets colloquial requests, transforms them into valid parameters, and runs them on a digital twin of the city, achieving a 96% success rate in interpreting requests.
The objective is to aid urban planners in decision-making by providing an accessible instrument to study and forecast scenarios before implementation, such as changes in public transport frequency or capacity. The system's modular architecture makes it applicable to other cities.
“"We are bringing very complex simulation tools closer to those who have to make decisions about the city: being able to ask in natural language what would happen with a certain change and get a simulation before executing it in the real world."
For this study, collaboration was provided by the municipal public company Sagulpa, which supplied information on the bus network, Metroguagua operational data, pedestrian flows, traffic data, and resident and visitor population data. The work is part of the Spain Living Lab project, supported by the Canarian Agency for Research, Innovation and Information Society (ACIISI) of the Government of Canarias.
Other participants in the study include the company SPV Scala, the Electronic Engineering Department of the Universitat de València, the Fundación Canaria Living Lab, the Department of Economics and Business Management and the TIDES Institute of ULPGC, and the Computer Science Department of the Universidad Autónoma de Madrid. The results have been published in the scientific journal Smart Cities.
