Road Traffic Management with Fuzzy Logic Approach

EasyChair Preprint 5330

Abstract

The objective of this research work presented in this article is to establish an intelligent traffic management system based on the fuzzy logic theory allowing to organize the traffic of vehicles in the road and highway networks in order to reduce the number of accidents and the impact of congestion on the traffic. In other words, to increase the fluidity of traffic while respecting road safety. This system controls variable message traffic management panels that will be installed along all roads whose role is to indicate the length not to be exceeded for vehicles. Thus, warning the users for a possible change of their itineraries if necessary. This displayed value of the length of the vehicles depends on several parameters that will feed our system, namely: the time, the dimension of the road and its degree of importance, these parameters are the input variables of our intelligent traffic management system.

Keyphrases: Congestion., Decision Making Support., Fuzzy logic approach., Road and highway networks, Traffic Management.

@booklet{EasyChair:5330,
  author    = {Soumia Tabit and Aziz Zoulhi},
  title     = {Road Traffic Management with Fuzzy Logic Approach},
  howpublished = {EasyChair Preprint 5330},
  year      = {EasyChair, 2021}}