An Agent-Based Model to simulate bottom-up urban mobility policies, applying datasets from the smart city and considering human cognitive behaviours

Lead Research Organisation: Newcastle University
Department Name: Sch of Engineering


My PhD project aims to develop, calibrate and validate an Agent-Based Model (ABM) using data collected from smart sensors and analysed applying AI techniques, to simulate urban mobility policies to identify efficient measures to reduce congestion and pollution, considering a simplified human cognitivity behaviour of the agents (citizens). The inclusion of simplified human behaviours could provide an alternative point of view (bottom-up) of the implementation of urban mobility policies and knowledge about how they affect to each citizen individually


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023577/1 31/03/2019 29/09/2027
2281604 Studentship EP/S023577/1 30/09/2019 29/09/2023 David Alvarez Castro