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Transport Vehicle Selection Predictor
, Shubham Matale, Apurva Taru, Pratik Mahamuni
Published in International Organization Of Scientific Research (IOSR)
Volume: 2.0
Issue: 1.0
Pages: 7.0 - 13.0
Vehicle Selection Predictor is a new and important concept in transportation studies. In recent years, prediction model was designed for the prediction of prices of vehicles. In this project, we are trying to build a prediction model for vehicle selection based on its usage. In this project, we consider the problem of vehicle selection for transportation using a multicriteria decision-making approach. The problem includes several conflicting factors which are economic and technological factors. The vehicle has its own specifications/factors like load that it can handle, average of the vehicle, design of vehicle etc. Based on these factors the transport agency should choose a vehicle for a particular delivery. Hence, to predict the selection of vehicle depending on its specifications, the system will be designed by using machine learning algorithms. While designing the model feature selection is a very important aspect. This paper mainly focuses on feature selection and building the predictive model.
About the journal
JournalIOSR Journal of Engineering (IOSRJEN)
PublisherInternational Organization Of Scientific Research (IOSR)
Open Access0