Traffic congestion and safety are among the main problems in urban transportation that directly affect both the daily life of individuals and the sustainability of cities. Istanbul Technical University (ITU) Graduate School Transportation Engineering PhD student Sadullah Göncü developed original studies that offer scientific solutions to these problems with a research project he took part in during his graduate education. The project, supported by the TÜBİTAK 1001 Program and led by Prof. Dr. Hilmi Berk Çelikoğlu, is titled "The Effects of Collaborative Vehicle Dynamics on Traffic Flow Modeling: Simulation and Control".
This comprehensive study, in which Sadullah Göncü took part in a research project for the first time, also formed the basis of his own doctoral thesis. In the project, which was carried out on real traffic network data, the effects of smart vehicle technologies such as collaborative adaptive cruise control (CACC) on traffic flow were analyzed in mixed traffic structures where driverless and driverless vehicles are located together.

Göncü shares his experiences about the project process with the following words:
"I had the opportunity to gain experience in many subjects such as data analysis, mathematical modeling, application of control and automation theories to traffic flow control, scientific reporting, academic writing processes and participation in congresses. In addition, the fact that I took the courses related to the project topics during my doctoral course period at ITU made the process even more productive for me."

Göncü states that he reinforced his academic development by working closely with the principal investigator Prof. Dr. Hilmi Berk Çelikoğlu during the research process, and that his collaboration with researcher Dr. Mehmet Ali Silgu, who joined the project later, also contributed to the writing process of new projects. Presenting a publication prepared within the scope of the project at the EWGT 2024 Congress, Göncü's experience also reveals how graduate education can be a driving force in interdisciplinary projects.



The project integrates advanced control approaches such as the H∞ control method into traffic flow modeling; It offers solutions in terms of important performance indicators such as systemic delay, travel time, fuel consumption and emission emissions. The study, which evaluates the potential of collaborative vehicle systems in combating traffic congestion, as well as its academic outputs; It also produces application data that can guide decision-makers on high-standard urban roads.

The methodology developed by the project is still being developed and forms an intellectual basis that contributes to the preparation of new projects. This study, which is carried out within the ITU ITS Research Lab and progresses with the contributions of the multidisciplinary research team, continues to make domestic and innovative contributions in the field of transportation engineering. Project outputs and academic publications can be accessed at its.itu.edu.tr/publications

Traffic congestion and safety are among the main problems in urban transportation that directly affect both the daily life of individuals and the sustainability of cities. Istanbul Technical University (ITU) Graduate School Transportation Engineering PhD student Sadullah Göncü developed original studies that offer scientific solutions to these problems with a research project he took part in during his graduate education. The project, supported by the TÜBİTAK 1001 Program and led by Prof. Dr. Hilmi Berk Çelikoğlu, is titled "The Effects of Collaborative Vehicle Dynamics on Traffic Flow Modeling: Simulation and Control".
This comprehensive study, in which Sadullah Göncü took part in a research project for the first time, also formed the basis of his own doctoral thesis. In the project, which was carried out on real traffic network data, the effects of smart vehicle technologies such as collaborative adaptive cruise control (CACC) on traffic flow were analyzed in mixed traffic structures where driverless and driverless vehicles are located together.

Göncü shares his experiences about the project process with the following words:
"I had the opportunity to gain experience in many subjects such as data analysis, mathematical modeling, application of control and automation theories to traffic flow control, scientific reporting, academic writing processes and participation in congresses. In addition, the fact that I took the courses related to the project topics during my doctoral course period at ITU made the process even more productive for me."

Göncü states that he reinforced his academic development by working closely with the principal investigator Prof. Dr. Hilmi Berk Çelikoğlu during the research process, and that his collaboration with researcher Dr. Mehmet Ali Silgu, who joined the project later, also contributed to the writing process of new projects. Presenting a publication prepared within the scope of the project at the EWGT 2024 Congress, Göncü's experience also reveals how graduate education can be a driving force in interdisciplinary projects.



The project integrates advanced control approaches such as the H∞ control method into traffic flow modeling; It offers solutions in terms of important performance indicators such as systemic delay, travel time, fuel consumption and emission emissions. The study, which evaluates the potential of collaborative vehicle systems in combating traffic congestion, as well as its academic outputs; It also produces application data that can guide decision-makers on high-standard urban roads.

The methodology developed by the project is still being developed and forms an intellectual basis that contributes to the preparation of new projects. This study, which is carried out within the ITU ITS Research Lab and progresses with the contributions of the multidisciplinary research team, continues to make domestic and innovative contributions in the field of transportation engineering. Project outputs and academic publications can be accessed at its.itu.edu.tr/publications

Traffic congestion and safety are among the main problems in urban transportation that directly affect both the daily life of individuals and the sustainability of cities. Istanbul Technical University (ITU) Graduate School Transportation Engineering PhD student Sadullah Göncü developed original studies that offer scientific solutions to these problems with a research project he took part in during his graduate education. The project, supported by the TÜBİTAK 1001 Program and led by Prof. Dr. Hilmi Berk Çelikoğlu, is titled "The Effects of Collaborative Vehicle Dynamics on Traffic Flow Modeling: Simulation and Control".
This comprehensive study, in which Sadullah Göncü took part in a research project for the first time, also formed the basis of his own doctoral thesis. In the project, which was carried out on real traffic network data, the effects of smart vehicle technologies such as collaborative adaptive cruise control (CACC) on traffic flow were analyzed in mixed traffic structures where driverless and driverless vehicles are located together.

Göncü shares his experiences about the project process with the following words:
"I had the opportunity to gain experience in many subjects such as data analysis, mathematical modeling, application of control and automation theories to traffic flow control, scientific reporting, academic writing processes and participation in congresses. In addition, the fact that I took the courses related to the project topics during my doctoral course period at ITU made the process even more productive for me."

Göncü states that he reinforced his academic development by working closely with the principal investigator Prof. Dr. Hilmi Berk Çelikoğlu during the research process, and that his collaboration with researcher Dr. Mehmet Ali Silgu, who joined the project later, also contributed to the writing process of new projects. Presenting a publication prepared within the scope of the project at the EWGT 2024 Congress, Göncü's experience also reveals how graduate education can be a driving force in interdisciplinary projects.



The project integrates advanced control approaches such as the H∞ control method into traffic flow modeling; It offers solutions in terms of important performance indicators such as systemic delay, travel time, fuel consumption and emission emissions. The study, which evaluates the potential of collaborative vehicle systems in combating traffic congestion, as well as its academic outputs; It also produces application data that can guide decision-makers on high-standard urban roads.

The methodology developed by the project is still being developed and forms an intellectual basis that contributes to the preparation of new projects. This study, which is carried out within the ITU ITS Research Lab and progresses with the contributions of the multidisciplinary research team, continues to make domestic and innovative contributions in the field of transportation engineering. Project outputs and academic publications can be accessed at its.itu.edu.tr/publications