@mastersthesis{MendozaSilva2015,

title = {Agent-based parking occupancy simulation},

author = {Germán Martín Mendoza-Silva},

editor = {Michael Gould (supervisor) and Ana-Cristina Costa (co-supervisor) and Jorge Mateu-Mahiques (co-supervisor)},

url = {http://hdl.handle.net/10234/148066},

year  = {2015},

date = {2015-03-04},

school = {Universitat Jaume I},

abstract = {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 },

keywords = {Mastergeotech, parking, Smart Cities},

pubstate = {published},

tppubtype = {mastersthesis}

}