The Current Scientific Stage of The Instruments and Methods Needed for an Efficient Traffic Management System Based on AI

Florin Andreescu ()

Informatica Economica, 2022, vol. 26, issue 1, 46-56

Abstract: An efficient traffic management system based on AI has to address several main objectives like significant reduction of overall congestion levels in the city and dynamic pathways generation for emergencies and government using intelligent informed and self-unlocking intersections. Such a system must consider also future trends and challenges like autonomous vehicles, automated courier services, and flying vehicles in the city. This type of management is a complex objective that aims at both the optimization of flows and the optimal response to disturbances and crisis situations. This study investigates the current scientific stage of the instruments and methods needed for architecture, design, construction, and implementation of an informatics management system based on AI able to solve such a complex goal.

Keywords: Informatics Management System; AI; Traffic; Congestion; Emergencies; Machine Learning (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://revistaie.ase.ro/content/101/05%20-%20andreescu.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:26:y:2022:i:1:p:46-56

Access Statistics for this article

Informatica Economica is currently edited by Ion Ivan

More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().