1. Proceedings
  2. I3M
  3. 2020
  4. EMSS
  5. 10.46354/i3m.2020.emss.046

Optimization approaches to manage congestions for the phenomenon “Luci d’artista” in Salerno"

  • a Luigi Rarità 
  • a Dipartimento di Scienze Aziendali - Management & Innovation Systems, and Dipartimento di Ingegneria 
    Industriale, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy
Cite as
Rarità L. (2020). Optimization approaches to manage congestions for the phenomenon “Luci d’artista” in Salerno". Proceedings of the 32nd European Modeling & Simulation Symposium (EMSS 2020), pp. 319-324. DOI: https://doi.org/10.46354/i3m.2020.emss.046

Abstract

This paper focuses on the optimization of traffic flows in case of congestion phenomena due to the event “Luci D’Artista” in Salerno, Italy. The management of traffic deals with two different optimization techniques, that foresee, respectively, a decentralized approach and a genetic algorithm. A cost functional, that estimates the kinetic energy on a portion of the real network of Salerno, is maximized with respect to the distribution coefficients at nodes. The simulation results confirm the decongestion effects, that are also proved via the estimation of the time a car needs to cross fixed paths on the network object of study.

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