The Process of Smartening Road Traffic Management Systems Using Open-Source Solutions: Simulating Traffic Flow, Volume, Speed and Its Impact on Road Safety in a Digital Twin Platform

Abstract. The escalating complexity of modern transportation systems, fueled by rapid urbanization and the increasing integration of autonomous vehicles, requires a fundamental shift in traffic management strategies. Traditional traffic models struggle to adapt to the new challenges posed by higher vehicle densities and the diverse operational behaviors of both automated and non-automated vehicles. As a result, existing models often fail to accurately predict traffic flow and road safety in these dynamic environments, particularly due to the unpredictable interactions between different vehicle types.

To address these challenges, digital twin technology offers a promising solution. By creating virtual representations of real-world traffic systems, digital twins enable the integration of real-time data from a network of smart sensors. This integration allows for the simulation of traffic flow under various conditions, incorporating factors such as vehicle volume, speed, and driver behavior. The ability to simulate a wide range of traffic scenarios in a controlled virtual environment facilitates the testing and validation of new traffic management strategies, which can lead to improved road safety outcomes and a more responsive approach to traffic control.

In parallel, the adoption of open-source standards is crucial for the successful implementation of digital twin-based traffic management systems. Open-source software and data formats ensure interoperability, scalability, and collaboration across different platforms and stakeholders, accelerating innovation within the field. These standards help create a collaborative environment where researchers and developers can work together, fostering the continuous improvement and sustainability of traffic management systems. Moreover, the availability of open-source tools reduces entry barriers for researchers and practitioners, making it easier to implement and adopt these advanced technologies, ultimately enhancing the effectiveness of traffic management solutions. This paper explores how integrating smart sensors, open-source standards, and digital twin Platform can significantly enhance road safety.