A spectacular measurement campaign was carried out on a real-world motorway stretch of Hungary with the participation of international industrial and academic partners. The measurement resulted in vehicle based and infrastructure based sensor data that will be extremely useful for future automotive R&D activities due to the available ground truth for static and dynamic content. The aim of the measurement campaign was twofold. On the one hand, road geometry was mapped with high precision in order to build Ultra High Definition (UHD) map of the test road. On the other hand, the vehicles—equipped with differential Global Navigation Satellite Systems (GNSS) for ground truth localization—carried out special test scenarios while collecting detailed data using different sensors. All of the test runs were recorded by both vehicles and infrastructure. The paper also showcases application examples to demonstrate the viability of the collected data having access to the ground truth labeling. This data set may support a large variety of solutions, for the test and validation of different kinds of approaches and techniques. As a complementary task, the available 5G network was monitored and tested under different radio conditions to investigate the latency results for different measurement scenarios. A part of the measured data has been shared openly, such that interested automotive and academic parties may use it for their own purposes.

Transportation efficiency and safety are crucial development areas nowadays. Cooperative Intelligent Transport Systems (C-ITSs), relying on Vehicle-to-Everything (V2X) communication, are a promising group of technologies and applications aimed at solving several issues related to road safety or efficiency. The C-Roads Platform was brought to life to ensure the cross-border harmonization of C-ITS at a European level, guiding several pilot activities in national deployment projects and providing a harmonized pan-European C-ITS service perspective. Because of the safety relevance of V2X technologies, it is essential to ensure that the crucial parameters of wireless communication are within an acceptable range to serve C-ITS applications appropriately. In this work, we developed a simulation pipeline to evaluate future V2X deployments using the real-world traffic and map data of a C-Roads harmonized major Hungarian C-ITS deployment site. First, we selected three time periods representing different traffic patterns. Then, we reconstructed the flow-based traffic data from the real-world traffic counters for the selected time periods. We developed an approach based on linear equations to perform the conversion. Eventually, we used the real-world data to simulate the effects of various DSRC (ITS-G5-based) C-ITS services and V2X penetration rates on the Channel Busy Ratio (CBR) parameter of the radio access environment.

Traffic network operators are using several channels to share their traffic related data, on one hand because of legal obligation, on the other hand to ensure a higher level of service for their customers. Of course, the value chain, and the provided content will change a lot with the emerge of connected and automated driving, or with the spread of Mobility-as-a-Service solutions and Alternative Fuel Infrastructure Regulation (AFIR) related data sharing in the near future. This paper gives a comprehensive overview of the current practice in Hungary, introducing the ways of distributing multimodal traffic related information, some existing services that were implemented based on these automatic data channels. The paper also gives an overview on the ongoing transition towards automatic data provision and how the regular road operators’ role change to digital road operators, furthermore the European harmonisation process that was started in the framework of the Napcore project.

Open road testing is an essential stage of the process of approving driver assistance and other self-driving functions. However several countries have opened their network with or without limitations for autonomous vehicle testing, there are some sections where the infrastructure was designed to support testing. The aim of this article is to give an overview of such open road testing facilities around the world, introducing the main purposes, the used infrastructure (eg. sensor network, communication) and features (eg. data processing, and control functions), and compare them to the planned investments in Hungary.

Automation in road traffic is reshaping our future lives, and mobility. Autonomous cars require new approaches from a road operator in all activities, including traffic management. Next generation of traffic management should go hand in hand with the development of autonomous cars via open road tests. An ongoing Hungarian research project is focusing on realizing a transport ecosystem using state-of-the-art technology to develop a comprehensive solution to support autonomous vehicles in cooperation with the infrastructure. The solution builds up an external environment model in the cloud. The system will utilize all information from both vehicle and infrastructure side by fusing data from both sources together in a cloud based, real time digital twin. The scope of the project is to provide a platform for road infrastructure related cloud-based services for connected and automated vehicles. The new test environment is going to be a perfect location to simulate and evaluate the effects of Connected and Automated Vehicles (CAV) on traffic management.