Due to global warming and climate change, greenhouse gases are considered an important factor to reduce. In this paper, to reduce the amount of greenhouse gas inevitably generated in the process of waste collection and transport, we investigated the optimization of the collection route and predicting the amount of waste generated by implementing an ICT-based smart weight collection system in Jeju city's D area. HES and LSTM models were used as prediction methods. We calculated greenhouse gas emissions assuming the 23 clean houses in the D area were replaced with the smart weight collection system. As a result of the prediction results, both models performed with 85% accuracy. It shows optimizing the collection route can also reduce greenhouse gas emissions by more than 57%. In this study, It is expected that the effect of introducing a smart weight collection system to reduce greenhouse gas emissions will be further increased if long-term data are accumulated in areas with higher populations and waste generation than area D.