SGTD: Distributed Traffic Management System for Vehicular Networks
Abstract
Managing mobility is an important and recurring challenge of urban centers, mainly due to the intensification of population grouping in large cities. In this sense, one of the consequences of this impasse is the disproportionate growth in the number of vehicles in relation to urban infrastructure, responsible for the emergence or intensification of traffic jams. The objective of this paper is to propose a fully distributed algorithm capable of reducing these impacts through the reorganization of vehicular flow. Thus, the vehicles, in a collaborative way, are responsible for classifying and sharing information about the displacements made for decision making in a distributed environment. The results of the simulations indicate that the solution presented can reduce the travel time, the time in congestion, and increase the average speed achieved with low impact on the number of messages transmitted, in order to allow a good performance of the proposed system.
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