An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic

  1. Díaz, Gregorio 1
  2. Macià Soler, Hermenegilda 1
  3. Brazález, Enrique 1
  4. Boubeta-Puig, Juan
  5. Ruiz, M.Carmen 1
  6. Valero, Valentin 1
  1. 1 School of Computer Science, Universidad de Castilla-La Mancha, Albacete, Spain
Proceedings:
XXIII Jornadas de Programación y Lenguajes (PROLE 2024)

Publisher: Sistedes

Year of publication: 2024

Type: Conference paper

DOI: 10.1007/978-3-031-35995-8_4 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Abstract

Tsunamis and earthquakes have a great impact in humanlives, infrastructures and economy. Although preventing tsunamis fromoccurring is impossible, minimizing their negative effects is in our hands.The aim of the Intelligent Transportation System (ITS) proposed in thispaper is to provide safer routes for emergency and rescue vehicles. Thissystem must consider the information regarding the tsunami alert systemand the road state combined with the vehicle performance. ComplexEvent Processing (CEP) technology allows us to gather and process theinformation provided by authorities to establish the alert level. A FuzzyInference System (FIS) can be used to consider the uncertain regardingthe road-status related concepts, such as, flood, objects and alert levels,and to assist authorities to determine whether roads are accessible. Theinformation obtained through these technologies can then be used in aColored Petri Net (CPN) model in order to obtain safer routes. Thisproposal has been applied to the Spanish city of C´adiz, due to its population density and its location in a small peninsula close to an activetectonic rift.