Smart cities and communities rely on efficient, reliable and robust transport systems. The TRANSFORM research project contributes to a better understanding of how people move in different levels of the public transport network and offer new techniques to adjust public transport services to respond to actual demand levels. The overarching objectives of the project are to understand transferring dynamics in multi-modal public transport systems and to develop insights, strategies and methods to support decision makers in transforming public transport usage to a seamless travel experience by using smart data. A multi-level approach is adopted in this project for monitoring, mapping, analysing and managing urban dynamics in relation to interchanging flows. The project develops strategies to coordinate transfers by taking into consideration passenger transaction data and deploy short-term predictions of passenger flows based on historical and prevailing travel patterns that partially rely on input from the behavioural models. In cooperation with local transport operators and authorities, three cases studies in the Netherlands, Sweden and Switzerland measure how travellers transfer within terminals, urban and regional networks in order to develop methods for predicting passenger flows, quantify the reliability of passenger experience and evaluate strategies for improved coordination between travel modes, especially in case of disturbances.
