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Public Transportation Decision Support System


toplu taşıma karar destek


Data Management


Cermoni converts your public transport data into an international data format, improving data reliability and enabling easy integration into passenger information systems. With easy data access and editing tools, it allows you to manage operations to update your line and stop data easily, quickly, and securely without data loss.

Cermoni offers the opportunity to monitor boarding, transfer and route information within the scope of existing lines and stops, and to evaluate start-end mobility analyses working with forecasting models on a region and line basis.

Cermoni supports your tariff plan decisions and offers the most suitable option by creating planning alternatives with different demand scenarios and previewing indicators such as fuel, cost, service level and emissions.

Image by Ina Carolino

Smart way to get insights for the city’s public transportation mobility

Cermoni is a big data based, central public transportation decision support system that provides information to understand trip and passenger behavior along with travel demands in the city at macro, meso and micro levels by using smart card data.

Soyut Yapısı
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(whole city)
meso copy.png
micro copy.png
(bus stop)
Cermoni offers different analysis to make public transport more understandable
Heat Map Analysis

Understanding the city’s macro scale mobility by analyzing the public transport activity and density change in time-based

Zone Analysis

Measuring the public transport service level of the zones and analyzing the demands with zone-based travel productions

Origin-Destination Analysis

Understanding the cities’ public transport travel demand and patterns to provide insights for more efficient data-based decisions

Line Analysis

 Accessing all dynamic and static info of the lines, analyzing line-based ridership production, measuring the service level and performance, analyzing line similarity, speed, and schedule compatibility

Stop Analysis

The evaluation of stop performance, stop loads, stop density of lines, number of trips passing through stops, density changes


Digital transformation in public transportation

We create value in public transportation together

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in mobility? 

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