Agent-based parking occupancy simulation


Autoria(s): Silva, Germán Martín Mendoza
Contribuinte(s)

Gould, Michael

Costa, Ana Cristina

Mahiques, Jorge Mateu

Data(s)

27/03/2015

27/03/2015

04/03/2015

Resumo

The existing parking simulations, as most simulations, are intended to gain insights of a system or to make predictions. The knowledge they have provided has built up over the years, and several research works have devised detailed parking system models. This thesis work describes the use of an agent-based parking simulation in the context of a bigger parking system development. It focuses more on flexibility than on fidelity, showing the case where it is relevant for a parking simulation to consume dynamically changing GIS data from external, online sources and how to address this case. The simulation generates the parking occupancy information that sensing technologies should eventually produce and supplies it to the bigger parking system. It is built as a Java application based on the MASON toolkit and consumes GIS data from an ArcGis Server. The application context of the implemented parking simulation is a university campus with free, on-street parking places.

Identificador

http://hdl.handle.net/10362/14569

201421380

Idioma(s)

eng

Direitos

openAccess

Palavras-Chave #Intelligent parking systems #Agent-based modeling and simulation #Integrated simulations #GIS data and services #Software design
Tipo

masterThesis