An application of fuzzy graph in accidental prone zone to reduce the traffic congestion

Abstract

The concept of a fuzzy graph model is a method of analyzing traffic congestions. This paper focuses on the
usage of a fuzzy graph model in traffic congestion. Traffic congestions are due to increase of a number of
vehicles flow in a city. It can be used to represent traffic networks in a city. In cities, there are different types of
accident prone zone with the help of this concept accident prone zones can be regulated in better ways.
In this paper, a fuzzy graph model is useful to represent the traffic network system. The road structure design
need to be investigated how to reduce the accident prone zone, such that, the total number of vehicles are
moving in a particular time on the road and to minimized traffic congestions.
In order to minimize accidents, a classification of this type is very helpful. To avoid traffic jam in bigger cities, a
development of fuzzy application can be used to prevent traffic jam.