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Public Transport Optimization with Cermoni in Antalya, Türkiye

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The Challenge

Antalya is a dynamic city with a population of approximately 2.7 million. Its public transportation network must continuously adapt to changing conditions due to factors such as migration following the Russia-Ukraine war, internal displacement caused by the February 6th earthquakes in Turkey, and the increasing number of tourists due to longer summer seasons.

 

These shifts have led to rising public transport demand, requiring service adjustments to meet evolving needs efficiently. At the same time, rising operational costs have made it essential for the city to optimize planning for a more sustainable and cost-effective public transportation system.

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Making an impact

To address these challenges, Cermoni was implemented to optimize public transport scheduling and vehicle-driver assignments based on data-driven insights. Supported by the European Institute of Innovation and Technology’s (EIT) Urban Mobility initiative, this project enabled Antalya to enhance its service levels while reducing costs and improving sustainability.

Antalya’s extensive transport network includes buses, trams, and minibuses, connecting various districts. However, the city lacked a fully digital system for schedule creation and vehicle-driver assignments. The goal was to transition to a digital, data-driven planning system that would:

  • Reduce the number of vehicles needed without compromising service quality

  • Minimize operational costs

  • Adapt to fluctuating demand throughout the year

  • Reduce environmental impact by lowering total mileage and emissions

With Cermoni’s data-driven decision support, smart card data from selected transit lines were analyzed to identify peak and off-peak demand patterns.

From 96 to 91

Reduced number of vehicles

4,25 - 5,19

Trip/ Vehicle

Average level of service

C Level

The Solution

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By leveraging Cermoni, Antalya was able to implement an optimized schedule that improved efficiency and service quality. The analysis revealed that a more strategic deployment of vehicles could lead to a reduction of up to five vehicles across all lines while maintaining service standards.

This approach provided:

  • Service level recommendations aligned with 100%-100% and 95%-85% vehicle occupancy for peak and off-peak hours

  • More sustainable and cost-effective public transport operations

  • A reduction in total mileage and carbon emissions, contributing to environmental goals

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Lesson Learnt

  • Integrating demand-based planning: Data-driven insights allowed Antalya to dynamically adjust public transport schedules based on actual passenger demand.

  • Enhancing efficiency through digitalization: Transitioning from manual to digital scheduling and resource allocation improved operational efficiency.

  • Sustainability as a priority: The optimized scheduling process reduced the total number of vehicles required, lowering emissions and contributing to a greener urban transport system.

  • Adapting to changing urban mobility needs: The project demonstrated the importance of continuously monitoring transit demand and adjusting services accordingly.

Parallel Lines

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