By 2030, Berlin's entire fleet of more than 1,400 buses will be completely electrical. For efficient vehicle workings, BVG relies on IVU.suite’s optimisation tools.

IVU.timetable +



IVU.suite stores all relevant data about the network, including information about terrain or infrastructure data such as charging possibilities. Automatically linked to the battery and consumption profiles of each vehicle type and route section, the system provides planners with a comprehensive overview of their network. In addition, IVU.suite indicates if routes are unsuitable for battery-powered electric buses, thus supporting the respective decision-making processes.

Display of the transport network in IVU.timetable


Machine learning inside: To help planners create the optimum vehicle working for every vehicle type, IVU.suite has learning capabilities. The system knows the power consumption of the different electric bus models as well as the age of their batteries from which it determines a forecast of the expected range.

To deliver a result that is as exact as possible, the algorithms use real data from the completed trips. In this case, details about the vehicle along with relevant environmental factors such as topography, outside temperature, number of passengers or traffic situation are incorporated in the calculations. If little or no data is available, for example because not enough electric buses are operating yet or a vehicle working is new, the system determines the likely energy consumption for the individual vehicle workings based on simulation models.

Scheduling charging processes

The planning process for vehicle workings for battery-powered electric buses must also take charging times into account. That’s why vehicle working scheduling in IVU.suite makes it possible to create the necessary charging processes at the same time. Based on anticipated energy consumption for different vehicle types as well as the existing infrastructure, such as the number of charging stations in the depot and their availability, the system enables the creation of suitably sized charging time windows right at the planning stage.

The software also closely monitors total charging capacity to ensure, on the one hand, that upper power limits and locking periods are adhered to, but also that all vehicles are sufficiently charged. If necessary, planners can even assign parking spaces and charging stations as part of the vehicle working scheduling. Specific activities such as preconditioning can also be conveniently entered in the system. The end product is a complete charging plan that includes the intended charging duration as well as the planned charging curve. The charging plan is also available to the vehicle dispatch, operations monitoring and depot manage­ment departments along with other areas of work. This guarantees a seamless flow of data and ensures a standardised planning and dispatch process.

The integrated duty and vehicle working scheduling creates optimal vehicle working schedules

At a glance

  • Utilising information
    Topography, infrastructure, consumption profiles: IVU.suite alleviates timetable planning with important information
  • Approaching charging stations
    Whether it is depot charging or opportunity charging, charging stations including capacities can be scheduled during timetable planning
  • Integrated user interface
    All in one system: planners profit from a standardised user interface with functions for all drive types
  • Machine learning
    IVU.suite has learning capabilities: Based on the vehicle workings driven, algorithms determine exact range forecasts for each vehicle type
  • Automatic suggestion system
    The right vehicle type for the right vehicle working – automated suggestions for suitable vehicles accelerate the planning process
  • Extensive charging planning
    From the state of charge to the infrastructure all the way to the charging duration, IVU.suite supports the overall charging planning process
  • Taking activities into account
    Whether they involve cleaning or preconditioning, any activities on the vehicle are easy to plan and enter in the vehicle working schedule
  • Predicting power consumption
    Weather, passenger numbers, battery age: Interfaces to the vehicle monitoring system enable detailed forecasts

Photo header: BVG / Andreas Süß