Título: Combination of Artificial Intelligence Techniques for prediction the Behavior of Urban Vehicular traffic in the city of São Paulo
Autores: Ferreira, Ricardo Pinto
Resumo: In recent years the behavior of the parcel delivery market has undergone significant changes influenced by increased competitiveness, concern with the environment, electronic commerce, increasing the number of customers, reducing the order size, increase the flow of urban vehicles; increase the fleet; complexity of the operations of pickup and delivery; increased restrictions on movement of vehicles, increased restrictions on size and capacity of vehicles. Thus the routing and scheduling of vehicles tend to receive a prominent focus, observing the requirements of the consumer market and end customer within the urban distribution logistics. The aim of this paper is to apply a neuro fuzzy network to forecast the behavior of the urban traffic of the city of São Paulo supported by a hierarchy of three levels of routing: strategic represented by forecasting the behavior of traffic, tactical represented by dynamic vehicle routing and operational routing by routing algorithms. The methodology of the paper consists in the capture of relevant events that affect the flow of traffic of the city of São Paulo and the application of a fuzzy neuro network trained with these notable occurrences to predict the behavior of traffic. This paper presents the results of using neuro fuzzy network (NFN) in predicting the behavior of the traffic of the city of São Paulo for a week.
Palavras-chave: Dynamic Vehicle Routing; Hierarchy of Routing; Neuro Fuzzy Network
Código DOI: 10.21528/CBIC2011-12.1
Artigo em pdf: st_12.1.pdf
Arquivo BibTex: st_12.1.bib