Using neural network modelling for estimation and forecasting of transport sector energy demand in developing countries

•Predicting transport energy efficiency indicators in developing countries.•Using Artificial Neural Network modelling.•Using data for 28 European countries over 30 years for learning.•Using Bottom-up approach to calculate energy demand at a highly disaggregated level.•Evaluating different measures to reduce future energy demand and emissions.