IVU to manage VBB network timetables

Timetable management The Berlin-Brandenburg public transport authority VBB commissioned IVU to ensure that the region’s timetables are current at all times with the IVU.pool timetable management tool and will continue to manage the data integration until the end of 2024.

Covering more than 30,000 km², the VBB network area is among the largest in Europe. In total, the 36 network members operate more than 1,000 routes served by 13,000 stops. In addition, the timetable information across the VBB network integrates numerous connections from companies in neighbouring regions.

“The functional scope of the IVU.pool system that is used enables a high degree of efficiency and cost effectiveness in editing and is one of the reasons why we awarded the contract for data integration to IVU following the tender,” Alexander Pilz, Head of Passenger Information at the VBB said.

Standardised interfaces make it easier for the IVU engineers to import data from the various planning systems and ensure reliable data harmonisation. At the same time, IVU.pool allows data on walking distances, transfer times or accessibility information to be added to the timetable information. Thanks to a special component, on-demand buses not connected with a route or the BerlKönig BC shuttle bus can also be modelled in IVU.pool and output in the VBB’s timetable information.

“The VBB is an important reference client for IVU.pool right on our doorstep, which makes receiving this renewed order now all the more pleasing,” Lutz Trostorf, responsible division manager at IVU said.

In order to incorporate the regular changes to the timetables due to pandemic-related developments in a timely manner, the IVU engineers updated the VBB timetable twice as often as they normally would. Besides specialist support and timetable management provider, IVU is responsible for all technical administration of IVU.pool. In future, the system will be fully hosted in the IVU.cloud, the powerful servers of which enable higher performance and even faster data preparation.

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