BOGESTRA can now use the digital transportation platform to plan and optimize its entire public transport fleet, including line transfers and coordination with neighboring transit companies.
“With the revolutionary public transport platform of the SPOO Group based on IBM technology, we were able to optimize the entire route network of BOGESTRA through real-time simulation within a very short time and thus lay the foundation for customer-oriented future planning,” says Jan-Niklas Huerkamp, IT Manager at BOGESTRA.
BOGESTRA expects to improve customer satisfaction by providing better service to passengers, specifically by reducing transfer wait times. Other departments that are involved in the planning process will also benefit from the solution’s line-sharing features, which allow BOGESTRA to coordinate route changes with its neighboring transit authorities through a web interface with the SPOO Group platform’s dashboard.
“Adjacent public transport companies can use the common stop and line data in the platform,” explains Huerkamp. Coordinating timetable changes with other transit providers can now be done digitally, in real time, between companies. This saves what Huerkamp calls “massive amounts of time” by eliminating all the manual iterations and exchanges of Excel spreadsheets in the previous planning process.
The digital solution also speeds the internal BOGESTRA planning process, allowing planners to focus on optimization and other critical tasks. By running the scalable solution on IBM Cloud and by using an intuitive web interface, multiple people can work simultaneously, in contrast to the previous Excel-based planning process.
“The solution is highly available and scalable,” says Huerkamp. “This saves time and is cost effective because it doesn’t require a separate physical infrastructure.”
The platform helps BOGESTRA continually improve service and reduce wait times. For example, it uses client-defined key performance indicators (KPIs) to alert BOGESTRA to service problems. Furthermore, the real-time simulation capabilities reveal any discrepancies between expected transfer wait times and the reality on the ground, allowing BOGESTRA to take measures to improve service. Finally, SPOO Group is planning to add machine-learning capabilities to the solution, which will automatically suggest improvements for route optimization.