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Efficient and robust vehicle workings and charging plans for battery-powered electric buses: IVU.suite supports overall vehicle working scheduling from daily deployment all the way to vehicle workings for several days, including maintenance, service, and charging times. Numerous automated functions and self-learning algorithms make workflows much faster.
The right personnel for every duty – the duty scheduling tools of IVU.suite provide support for the entire staff rostering process, from the establishment of the first duty schedule, to personnel dispatching and communication with drivers. IVU.pad supports day-to-day operations: The mobile app keeps drivers, workshop employees or service staff in the loop at all times.
Parking, charging, maintaining and redeploying electric buses smoothly: IVU.suite’s depot management system assists with all processes in the depot – for all vehicle types, in a single system. Whether it is mixed operations or purely electric fleets, numerous automated functions accelerate workflows and make cooperation easier across all areas of responsibility.
Fully charged into the vehicle working – with IVU.suite, planners and dispatch managers have the overall charging process under control, from long-term charge planning to controlling the infrastructure and all the way to energy management in the depot. The software compiles all relevant data, calculates optimum charging scenarios and ensures that battery-powered electric buses always have sufficient power for the intended vehicle workings.
Keeping the entire fleet under control at all times – with IVU.suite, dispatch managers can control and monitor day-to-day operations on the road. Whether it involves battery, hydrogen or diesel power, the system provides the right function for every vehicle type. Numerous automated functions help to ensure a swift and appropriate response in every operational scenario.
From route topography to the battery profile and all the way to the consumption profile, IVU.suite records all relevant target and actual data, merges it and prepares it for further processing. This provides transport operators with all the information they need to analyse electric bus deployment and to determine how they can further optimise their performance.