Improve Public Transportation Management Based on Data
Cermoni is a big data-driven decision support system that offers planning & optimization, analysis, and data management processes under one roof in public transportation. It addresses many of your questions such as "How do public transportation users move around the city? How can I create schedules, vehicle, and driver assignments that reduce costs and improve service levels?"
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Optimizing Public Transport Through Data-Driven Strategies
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Analysis
Cermoni provides performance analyses of the current situation based on routes, stops, and zones (such as the number of boardings, route similarity ratios, etc.). Additionally, it offers demand and behavior analysis in public transportation through Origin-Destination analyses.
Planning & Optimization
With its dynamic and innovative planning approach that allows you to test different scenarios, Cermoni creates optimized schedules and assigns vehicles and drivers to meet public transportation demand while catering to your needs (such as cost reduction, service level improvement, etc.).
Data Management (GTFS)
Cermoni ensures the management of your public transportation data is up-to-date and accurate by converting it to the international data standard GTFS format. Additionally, this format allows for data sharing with passenger information applications, providing users with accurate and current public transportation information.
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Why Cermoni?
Advanced Analytical Capabilities
Efficient Resource Management
Passenger Experience Improvement
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Flexibility and Scalability
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Who do we benefit?
Public Transportation
Companies
City Managers
Universities and Campuses
Municipalities and Public
Organizations
Transportation Planners
Airline Collaboration
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Daniele Paolino
aMo Modena Public Transport Operator
Planning Department
"The Cermoni Vehicle Assignment feature is easy and fast to use; it allows us to analyze vehicle usage and control the quality of our schedules. The same applies to the driver assignment section; these tools are crucial for balancing user needs with public costs."
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