Applied Study of the Fluidization Model of Logistics Transportation through the Prism of the Impact Generated on the Environment.

critical transportation infrastructure freight transport intelligent system transportation model polluting emissions traffic congestion traffic modelling

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
28 Nov 2022
Historique:
received: 03 11 2022
revised: 20 11 2022
accepted: 25 11 2022
entrez: 11 12 2022
pubmed: 12 12 2022
medline: 15 12 2022
Statut: epublish

Résumé

A real problem of today's society is the loss of human lives due to road accidents and the pollution caused by freight transport through metropolitan areas. The restrictions imposed in the near future for freight transport could reduce its efficiency and create many more problems. Using data centralization and developing applications or algorithms dedicated to the freight transportation sectors, routes and emissions can be managed much more efficiently. In this work, general aspects are presented, as well as a route optimization model for freight transport, taking into account the environmental impact, based on a heuristic algorithm, that of the ant colony (ACO). A multitude of studies has focused on what represents the benefits created by the applicability of solutions rather than on generalities and perspectives. The paper aims to highlight the usefulness of an optimization model of freight transport routes and the minimization of time and social costs. The study will show us that an optimized route for freight transport has a huge impact on costs, but also on time efficiency and polluting emissions.

Identifiants

pubmed: 36501966
pii: s22239255
doi: 10.3390/s22239255
pmc: PMC9735755
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2022 Jul 22;22(15):
pubmed: 35897984
Sensors (Basel). 2022 Oct 16;22(20):
pubmed: 36298212

Auteurs

Eduard Zadobrischi (E)

Department of Computers, Electronics and Automation, Faculty of Electrical Engineering and Computer Science, "Stefan cel Mare" University, No.13. Str. Universitatii, 720229 Suceava, Romania.
Department of Computer Science, Technical University of Cluj-Napoca, Gh. Baritiu St. 26-28, 400027 Cluj-Napoca, Romania.

Mihai Negru (M)

Department of Computer Science, Technical University of Cluj-Napoca, Gh. Baritiu St. 26-28, 400027 Cluj-Napoca, Romania.

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Classifications MeSH