This project aims to further develop and test Cermoni in Modena, Italy and Antalya, Türkiye. The tool offers insights to improve operations, minimize financial losses during fluctuations in demand, and enhance the overall passenger experience by allowing quick and efficient adaptations. The objectives of this activity include developing an affordable and flexible tool for PTOs, optimizing service levels, and minimizing financial losses during changes in demand.

​

The project aims to meet the fluctuating demand for public transportation throughout the year, while reducing costs and maintaining or even improving service levels, data-driven planning is necessary for the integration of these transportation modes. The municipality has faced issues due to the lack of a digital infrastructure for timetable creation and vehicle-driver assignment processes. The aim is to digitize public transportation planning processes and improve services by using resources more efficiently. The goal is to enhance public transportation services with fewer vehicles and lower costs, without compromising service quality, while also reducing environmental impacts.

 

In order to optimize the number of vehicles and drivers for the currently proposed timetable, the Municipality of Antalya aims to use its resources more efficiently and provide a better public transport service. The objective is to improve the public transport service with fewer vehicles and at lower cost, without compromising the quality of service, in compliance with changing demand in public transport because of migration from Ukraine, Russia, earthquake affected cities in Türkiye and tourism season.

 

The scope of the project:

• Scenario based timetable creation based on the demand and service level objectives

• Automatically providing the vehicle & driver scheduling based on the created timetable

• Data management module with GTFS Standardisation

 

Antalya's public transport system has made a significant gain, reducing the number of vehicles from 96 to 91 compared to the current timetable. A similar improvement was achieved in the trip/vehicle increase and keeping service level as expected.

 

This planning process not only reduced the number of vehicles, but also the total mileage and carbon emissions and made public transport operations more resilient to the demand fluctuations.

 

This project was also supported by Europe’s one of the biggest mobility networks, EIT Urban Mobility.