Data analytics to drive smarter decision making across the transport sector


Transport modelling has traditionally relied on time-intensive data collection methods. Data collected from cellular and Wi-Fi networks, GPS data and other sensors, can be used to derive a rich array of insights into the movement pattern and behaviour of people within regions, along transport corridors and within rail and metro stations and airports.

We apply our consulting heritage in the transport sector and our experience in cleaning and processing large data sets to provide clients with relevant insights using innovative methodologies and tools.

Related case studies