This final report is the second of two reports. Both are the result of a Swedish project, the Swedish Energy Authority’s TENS project, which spanned from 2018-2021. Other reports from the project provide results from estimating emissions from traffic measurements as well as simulation studies. Like any European capital, Stockholm suffers from many problems related to its road network. The main factor is traffic jams, which are aggravated with difficult weather conditions in winter but also due to accidents, popular events and holidays. Therefore, this report provides the results from a data-driven approach to estimating traffic flow. This work aims at predicting and understanding the behavior of this network based on data collected at several places. More specifically, the goal is to predict and model the traffic flow i.e macroscopic information, on ground measurements (MCS), using floating microscopic (INRIX) data. We focus on estimating the fundamental traffic law relationships, the flow using time series and future directions. Methods and results are in the related work section.