Big Data in Transport Modelling and Planning
Oksana Iliashenko, Victoria Iliashenko, Ekaterina Lukyanchenko
Abstract
This article is built on the exploration of the possibilities of using Big Data, Machine Learning and the Internet of Things technologies for the needs of transport planning and modeling. The authors analyze the problems arising in the transport infrastructure because of the growing urbanization of cities and propose a solution to the problems based on the use of processing large amounts of data. As a result of the study, a comparative table was created showing the possible application of Big Data technologies in integration with other modern technologies and what problems of transport planning they will solve.
Topics & Concepts
Big dataTransportation planningTable (database)Computer scienceUrbanizationData scienceThe InternetTransport engineeringEngineeringWorld Wide WebData miningEconomic growthEconomicsTransportation Systems and LogisticsTraffic Prediction and Management TechniquesTransportation Planning and Optimization