Bergamo tram, copyright: Comune di Bergamo
Bergamo tram, copyright: Comune di Bergamo

Digital infrastructure and vehicle optimization through predictive maintenance in Bergamo, Italy

Date: 27.04.2026
By: CE4CE
The Bergamo pilot within the CE4CE (Circular Economy for Central Europe) project demonstrates how digital monitoring, predictive maintenance, and energy simulation can jointly improve the sustainability and efficiency of urban tram systems.

The pilot combines two integrated strands: real-time condition monitoring of infrastructure and rolling stock, and energy optimisation based on large-scale simulations of the electrical tram network.

Pilot concept

Standard tram vehicles operating in daily passenger service were equipped with sensor systems, edge computing units, and communication devices to continuously monitor:

  • overhead contact line condition
  • pantograph–catenary interaction
  • vehicle operational and energy data
  • infrastructure-related dynamic behaviour

In parallel, a digital twin of the tram’s electrical network was developed to run extensive Energy Flow Simulations. These simulations enabled the analysis of hundreds of operational scenarios, supporting optimisation of energy use and braking energy recovery.

By combining real-world data with simulation outputs, the pilot enables data-driven validation, early fault detection, and improved system optimisation.

Implementation approach

The pilot followed a structured three-phase approach:

Preparation phase

Definition of system requirements, sensor selection, preassembly and testing of modular units, and setup of data management and analytics systems.

Implementation phase

Installation of monitoring systems on a selected tram vehicle in Bergamo, activation of real-time data collection, calibration of sensors, and validation of system performance through comparison with simulation results.

Evaluation phase

Assessment of system performance under real operational conditions, identification of infrastructure anomalies, analysis of energy optimisation potential, and evaluation of predictive maintenance capabilities.

Roles of the partners

The Bergamo pilot was implemented through close cooperation between:

  • ATB Bergamo – system operator and local implementation partner
  • KRUCH Railway Innovations GmbH & Co. KG – system design, data architecture, and simulation modelling
  • Ci4Rail GmbH – provision of rail-certified onboard hardware for data collection and transmission
  • PANTOhealth GmbH – monitoring and diagnostic methods for pantograph–overhead line interaction
  • Kruch-SIDOS – system integration and technical support during deployment and early operation

During the initial operational phase, system behaviour was supervised in real time in cooperation with all technical partners, ensuring stable operation and reliable data acquisition.

Key results and outcomes

The Bergamo pilot has already delivered important preliminary results:

  • early detection of infrastructure irregularities and vibration patterns
  • improved understanding of pantograph–overhead line interaction under real operating conditions
  • validation of real-world data against simulation models
  • identification of maintenance-relevant hotspot locations
  • improved insights into energy consumption and optimisation potential
  • enhanced decision support for maintenance and operational planning

Impact and outlook

The pilot demonstrates the strong potential of combining predictive maintenance with digital energy simulation in urban rail systems. This integrated approach enables:

  • extended infrastructure and component lifetime
  • reduced maintenance interventions and material use
  • improved energy efficiency through scenario-based optimisation
  • more reliable and data-driven infrastructure management

The Bergamo pilot provides a scalable model that can be transferred to other urban transport systems, supporting the broader transition towards circular, data-driven, and energy-efficient public transport networks across Europe.