A fuzzy knowledge based pragmaticApproach to predict optimal routingOn boulevard network

Abstract

Transportation route selection and optimization are intertwined in newlineroad network and these issues remain elusive to both planners and road users newlineThe problems seized upon are an amalgamation as well as interplay of newlinemultiple factors human machine and nature Thus the optimal routing has newlinebecome the uppermost concern of all the road users of the large road networks newlineand the researchers in turn move heaven and earth to get a breakthrough in newlinethe invention of an algorithm that best suits the road user in saving him time newlinecost and distance by making an allowance for the road risk factors both newlinefrequent and non frequent aspects related to road pavement environment newlineand human factors Hence a pragmatic and user friendly stance is attempted in newlinethe thesis newlineConcepts that form the user friendly qualities of road users time newlinecost and distance alone shape the aspirations of the thesis Fuzzy logic is newlineapplied in achieving the above goals since it attempts to solve problems by newlineassigning values to an imprecise spectrum of data in order to arrive at the newlinemost accurate conclusion possible in the same way that humans do newlineThe goal of optimal route selection in road network is attempted newlinewith three atypical approaches The first kind is the hierarchical community newlinemining fuzzy ant dynamic routing on large road networks Hierarchical newlinecommunity structure fuzzy logic and ant colony system are applied in the newlinestudy of the problem of route selection The second approach is the use of newlineDijkstra s fuzzy algorithm in the location of shortest path in large road newlinenetworks using fuzzy parameters The third scheme has a different newlineperspective in route selection with the course of action modeled on code newlinebased community network newline