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Related Experiment Video

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PITS: An Intelligent Transportation System in pandemic times.

Enrique Brazález1, Hermenegilda Macià1,2, Gregorio Díaz3,1

  • 1Albacete Research Institute of Informatics, Universidad de Castilla-La Mancha, Campus Univ. s/n, Albacete, 02071, Castilla-La Mancha, Spain.

Engineering Applications of Artificial Intelligence
|July 13, 2022
PubMed
Summary

This study introduces a Pandemic Intelligent Transportation System (PITS) to manage COVID-19 mobility restrictions. PITS integrates health data and traffic information to provide safe, fast routes for drivers during pandemics.

Keywords:
Colored Petri netComplex event processingFuzzy logicIntelligent transportation systemPandemic

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Area of Science:

  • Public Health
  • Intelligent Transportation Systems
  • Computer Science

Background:

  • Global pandemics like COVID-19 necessitate mobility restrictions.
  • Existing Intelligent Transportation Systems (ITS) lack integration of health data for route optimization.
  • A comprehensive solution is needed to balance public health and transportation needs.

Purpose of the Study:

  • To develop an integrated system for managing mobility restrictions during pandemics.
  • To provide drivers with fast and safe routes considering health risks.
  • To support governmental decision-making regarding population movement.

Main Methods:

  • Utilizing Complex Event Processing (CEP) for COVID-19 health indicator analysis.
  • Employing Fuzzy Logic (FL) for recommending safe travel zones.
  • Implementing Colored Petri Nets (CPNs) for map modeling and route computation.

Main Results:

  • The proposed Pandemic Intelligent Transportation System (PITS) effectively integrates health and traffic data.
  • PITS assists authorities in making informed decisions on mobility restrictions.
  • The system successfully computes optimized routes for drivers in the Madrid region.

Conclusions:

  • PITS offers a versatile, all-in-one solution for pandemic-related transportation challenges.
  • The system can be adapted for various emergency situations requiring mobility management.
  • This approach enhances both public safety and transportation efficiency during health crises.