RT journal article
T1 PITS: An Intelligent Transportation System in pandemic times
A1 Brazález, Enrique
A1 Macià, Hermenegilda
A1 Díaz, Gregorio
A1 Valero, Valentín
A1 Boubeta Puig, Juan
A1 Boubeta Puig, Juan
A2 Ingeniería Informática
K1 Colored Petri ne
K1 Complex event processing
K1 Fuzzy logic
K1 Intelligent transportation system
K1 Pandemic
AB The control of the pandemic caused by SARS-CoV-2 is a challenge for governments all around the globe.To manage this situation, countries have adopted a bundle of measures, including restrictions to populationmobility. As a consequence, drivers face with the problem of obtaining fast routes to reach their destinations.In this context, some recent works combine Intelligent Transportation Systems (ITS) with big data processingtechnologies taking the traffic information into account. However, there are no proposals able to gather theCOVID-19 health information, assist in the decision-making process, and compute fast routes in an all-in-onesolution. In this paper, we propose a Pandemic Intelligent Transportation System (PITS) based on ComplexEvent Processing (CEP), Fuzzy Logic (FL) and Colored Petri Nets (CPN). CEP is used to process the COVID-19health indicators and FL to provide recommendations about city areas that should not be crossed. CPNs arethen used to create map models of health areas with the mobility restriction information and obtain fast routesfor drivers to reach their destinations. The application of PITS to Madrid region (Spain) demonstrates that thissystem provides support for authorities in the decision-making process about mobility restrictions and obtainfast routes for drivers. PITS is a versatile proposal which can easily be adapted to other scenarios in order totackle different emergency situations.
PB ELSEVIER
SN 0952-1976
YR 2022
FD 2022-09
LK http://hdl.handle.net/10498/27426
UL http://hdl.handle.net/10498/27426
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026