Towards Intelligent Road Traffic Management Based on Neutrosophic Logic: A Brief Review

Authors

  • Asma Ait Ouallane TI Lab, Faculty of Science Ben M'sik, Hassan II University of Casablanca, BP 7955 Casablanca, Morocco
  • Said Broumi TI Lab, Faculty of Science Ben M'sik, Hassan II University of Casablanca, BP 7955 Casablanca, Morocco
  • Endalkachew Teshome Ayele Department of Mathematics, Arbaminch University, Arbaminch, Ethiopia
  • Assia Bakali TI Lab, Faculty of Science Ben M'sik, Hassan II University of Casablanca, BP 7955 Casablanca, Morocco
  • Ayoub Bahnasse ENSAM Casablanca, University Hassan II of Casablanca, Morocco
  • Mohamed Talea TI Lab, Faculty of Science Ben M'sik, Hassan II University of Casablanca, BP 7955 Casablanca, Morocco

Keywords:

Road traffic control, Intelligent Traffic Management System, Neutrosophic environment, Neutrosophic logic, Neutrosophic approaches

Abstract

Road traffic management has been a serious concern in the transportation sector for many years now. The explosion of the number of cars along with the inability of creating new highcapacity road infrastructures in big cities makes mitigating this danger a problem for the scientific research community. Traffic congestion contributes to increased pollution, economic loss, and a general deterioration in the quality of life. As a result, researchers are being asked to cope with the complexity of establishing effective and smooth traffic flow. However, as in traffic congestion control, real-world decision-making problems are always fraught with uncertainty and indeterminacy. The neutrosophic environment has been applied successfully to deal with these problems and recently, researchers tried to use various neutrosophic approaches to tackle the traffic congestion problem. This paper provides a brief overview of the most recently used neutrosophic techniques to handle traffic congestion and transportation problems in general. The aim of the investigation is to summarize the available neutrosophic traffic flow problems and their progress to enable future researchers to differentiate the major problems to be manipulated and identify
conditions to be optimized.

Downloads

Download data is not yet available.

Downloads

Published

2022-08-01

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Ouallane, A. A. ., Broumi, S. ., Teshome Ayele, E. ., Bakali, A. ., Bahnasse, . A. . ., & Talea, M. . (2022). Towards Intelligent Road Traffic Management Based on Neutrosophic Logic: A Brief Review. Neutrosophic Sets and Systems, 51, 107-122. https://fs.unm.edu/nss8/index.php/111/article/view/2554

Most read articles by the same author(s)

1 2 3 4 5 > >>