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
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