With the proliferation of GPS tracking data provided by smartphone apps, it is desirable to develop a data processing and anonymizing framework to transform raw GPS data into a suitable format for transport planning models. The paper aims to describe the effort to address such issues by map matching and aggregating the GPS information derived from a journey planning app. The effectiveness and flexibility of such a framework is demonstrated by an analysis of speeding and waiting time patterns in England and Wales by tracking 120 users for a year.