Qualitative traffic indicators analysis and optimization model for traffic operations in urban zone

  • 1 Department of Traffic and Transport, Faculty of Mechanical Engineering, Univers ity of Pristina “Hasan Pris tina,” Pristina, Kosovo
  • 2 Department of Mechatronics, Faculty of Mechanical Engineering, University of Pristina “Hasan Pristina,” Pristina, Kosovo
  • 3 Department of Traffic and Transport, Faculty of Mechanical Engineering, Univers ity of Pristina “Hasan Pristina,” Pristina, Kosovo


The greater interest of people living in urban areas has been accompanied by an increase in demand for motorized movements and other forms of active movements in these areas. As a result, traffic problems have been increased extremely for these road users both in terms of the quality of movement and safety. This research is focused on identifying factors related to the quality of motori zed and nonmotorized movements in urban areas, a particular case study of the municipality of Fushe Kosova, and the design of a model for traffic optimization in urban areas. The current approach to prioritizing the solution of motorized traffic problems, especially in d eveloping countries, has proved ineffective because, in the absence of addressing other mobility requirements (pedestrian, cyclist mobility), road users have been encouraged more to use this form of transport, leaving no room for other alternatives. The research aims to apply advanced methods for handling and managing traffic problems based on the principle of inclusion and building a model for optimizing traffic operation based on a specific case. The model is built using the programming language “Synchro,” which enables the analysis, optimization, and simulation of all forms of transport: motorized traffic, movement of pedestrians and cyclists in the road network planned following these requirements. Obtained results show the advantages of using different forms of transport depending on the selected concept and the priority of certain forms of transport. The summary results and their comparison in terms of quality for different time intervals, including the different conditions of access to urban areas, are presented in tabular forms.



  1. Y. Li, L. Yu, S. Tao, K. Chen, Multi-objective optimization of traffic signal timing for oversaturated intersection.
  2. Patel and K Bhatt 2017 Level of service on different segment road: Review Int. Jr. Scientific Research in Science, Engineering and Technology vol. 3 pp. 451-454.
  3. Abdulla-Al et. al. 2018 Estimating traffic volume to identify the level of service in manajor intersections of Rajshahi, Bangladesh Trends in Civil Engineering and its Architecture vol. 2 pp. 292-309.
  4. Gezim Hoxha, Ahmet Shala and Rame Likaj,Vehicle Speed Determination in Case of Road Accident by Software Method and Comparing of Results with the Mathematical Model.Strojnícky časopis - Journal of Mechanical Engineering, 2017, Volume 67, No. 2. 0017 .
  5. Hoxha Gëzim, Shala Ahmet, Likaj Ramë and Bajrami Xhevahir. Mathematical Model for Velocity Calculation of Three Types of Vehicles in the Case of Pedestrian Crash. Strojnícky casopis - Journal of Mechanical Engineering,volume 68 (2018): Issue 3 (November 2018). .
  6. Singh, Baalsrud Hauge, & Wiktorsson, 2021, Simulation-based participatory modelling in urban and production logistics: A review on advances and trends, Sustainability 2022, 14(1),17; 017.
  7. Amita Singha, Jannicke Baalsrud Hauge, Utkarsh Upadhyay, Optimizing local and global objectives for sustainable mobility in urban areas, Journal of Urban Mobility, Elsevier, Volume 2, December 2022, .
  8. Hoxha Gezim, Fandaj Arjanit, Quality of automatic traffic volume count from cameras and impact on traffic qualitative indicators, 2022.
  9. Traffic Signal optimization and simulation modeling software, Syncho 11, 2019 Cubic ITS, Inc.
  10. Traffic Data Analysis on Sathorn Road with Synchro Optimization and Traffic Simulation, DOI:10.4186/ej.2017.21.6.57 .
  11. Sustainable Mobility Project 2.0, SMP2.0 Sustainable Mobility Indicators, 2nd ed. WBCSD, 2016.
  12. Sustainable Mobility Project 2.0, Integrated Sustainable Mobility in Cities – A Practical Guide. WBCSD, 2016.

Article full text

Download PDF