The designing of road networks in civil engineering requires significant labor and is often time consuming. This report proposes the utilisation of deep learning techniques, leveraging high-resolution aerial imagery, to classify road surface areas from non-road areas. The objective of this report is to accurately estimate road surface area by calculating distance from a road centerline to the road edge, which will assist municipalities in efficiently assessing and managing their road assets.