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

Abstract

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

Publications

10 25 50

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