Our client

Skånetrafiken stands as the third-largest mobility operator in Sweden, facilitating the movement of 170 million passengers annually within Skåne county and between Sweden and Denmark.

Challenge

Skånetrafiken, as the provider responsible for ensuring safe and sustainable travel for citizens and visitors, needed to adapt to the sudden changes in occupancy regulations. Recognizing the potential of modern technology, Skånetrafiken sought innovative solutions to enable safer journeys.

Solution

Skånetrafiken discovered the solution within their own data. Working closely with us, they identified the ability to predict occupancy as a means of enhancing travel safety. By leveraging journey search data, ticket purchases, and validations, they could accurately estimate the number of passengers boarding at each stop and predict their disembarkation points. This allowed them to calculate occupancy levels by comparing the actual number of passengers with the vehicle capacity. Building a data-centric architecture empowered Skånetrafiken to collect, store, analyze, and develop applications and services. They utilized Microsoft Azure as their data platform, benefiting from its security, advanced technology, AI-powered services, real-time analysis, and scalability. The occupancy service was built on top of Azure's cloud capabilities, with data driving the core of the architecture.

The development process capitalized on the seamless interoperability of platform services. Leveraging Azure's Platform-as-a-Service (PaaS) model, Skånetrafiken's team could quickly start and set up components without worrying about infrastructure or operating system configurations. Azure's outsourced infrastructure management allowed the team to focus on innovation and development.

Benefits

Predictive occupancy not only delivers a valuable service to travelers but also aids traffic planners in determining when additional buses or train cars should be deployed. This leads to improved cost efficiency while maintaining a high standard of service.

Our data analysis also led to adapting to the changing commuting patterns, by introducing new, more flexible ticket options. This initiative aimed to retain commuters within the public transport system, offering ticketing solutions that align with their evolving needs.