The Experimental Smart Highway Section of the M1-M7 is Now Gaining Intelligence: The System Has Entered an Intensive Learning Phase

The sensor network construction on the experimental section of the M1-M7 highway has been completed. The system’s configuration and calibration are underway, laying the foundation for real-time data processing and the implementation of services that enhance traffic safety.

The smart highway project on the shared M1-M7 entry section has reached a new milestone. The completion of the sensor network by the end of November has enabled the start of the configuration and calibration phase. Fine-tuning of the sensors—such as LiDARs, cameras, and RADARs—and the synchronization of hardware and software are ongoing to ensure the precise and real-time processing of data.

Time synchronization among the sensors, during which their internal clocks are aligned to a reference clock, is being conducted with 100-nanosecond precision. The triggering process ensures that cameras capture images precisely when LiDAR sensors signal them, creating accurate and coherent datasets. Additionally, the spatial calibration of sensors is taking place to allow data to be interpreted within a unified reference coordinate system.

“The construction of the sensor network was an incredible engineering achievement, but it’s only the beginning—we are now working to integrate the sensors and processing algorithms into a perfectly coordinated system,” said Dr. András Rövid, the BME project lead. “This is an incredibly exciting phase, as the value derived from the data is already impressive, and the next steps will allow us to fully harness the system’s potential.”

Building the Digital Twin

The next major milestone involves processing and labeling point clouds and training AI-based detectors. This will enable the system to identify and categorize traffic scenarios, including the precise position, orientation, and size of vehicles. The digital twin model is expected to be ready by the end of February, followed by drone-based validation conducted by Bosch.

Enhancing Safety

The project aims to create a real-time system that not only increases traffic safety but also identifies the causes of congestion. Uniquely, it will be capable of detecting dangerous driving behaviors, such as passing on the right, sudden braking, or tailgating.

A Mobile Application to Support Drivers

In the project’s next phase, expected in April-May 2025, a mobile application in the pilot phase will be launched. The app will assist drivers with real-time, personalized information, providing updates on traffic events, potential hazards, and optimal routes.

Supporting Automotive Development

The smart highway project is not only aimed at improving traffic safety and efficiency but also provides a valuable foundation for research and development in the automotive industry. The sensor systems integrated into the infrastructure and real-time data analysis create opportunities for testing and fine-tuning new vehicle technologies, such as autonomous driving systems. The project serves as a unique platform for domestic and international automotive stakeholders, facilitating faster market entry for future transportation solutions.

International Comparison

This development stands out on a global scale, as a similar system exists only in China, covering a longer section. However, Hungary is unique in the region in its efforts to support data-driven traffic safety and efficiency through real-time processing.

“With this joint project, one of Europe’s and the world’s ‘smartest’ road sections has been created, enhancing Hungary’s reputation in the automotive industry. We provide opportunities for testing new technologies and automotive developments in real environments. This opens new horizons in traffic management and safety by alerting drivers to dangers beyond the limits of perception. We eagerly anticipate applying the pilot project’s results to everyday road operations and traveler information services,” said Máté Verdes, Head of the Intelligent Transportation Systems Department at Magyar Közút Nonprofit Zrt.

Setting a European Benchmark

The developments on the M1-M7 section not only enhance traffic safety and efficiency in Hungary but also set an example for advancing digital infrastructure at the European level. The smart highway technology places Hungary’s transportation system at the forefront, establishing a vital foundation for future mobility solutions.

The scientific development is being carried out by the BME Automated Drive research team in collaboration with Magyar Közút Nonprofit Zrt. under the Eureka Central System (2020-1.2.3-EUREKA-2021-00001) project.

Vehicle Safety and Security Research Group Showcases Innovative Test Framework at Cognitive Mobility 2024 Conference

The Vehicle Safety and Security Research Group from the Department of Automotive Technologies at the Budapest University of Technology and Economics recently participated in the Cognitive Mobility 2024 Conference, held at the Bosch Budapest Innovation Campus. The team presented their newly developed test framework, which highlights a breakthrough approach to safe driving operations.

During the presentation, the research group demonstrated how, in situations where conventional environmental sensors fail to provide the necessary information for safe driving, radio communication technologies can offer a reliable alternative. They showcased a scenario where even with degraded radio communication quality, their innovative control concept enabled the system to maintain safe driving operations by adapting to the communication parameters.

This test framework represents a significant advancement in vehicle safety technology, illustrating the potential of radio communication as a complementary solution to traditional sensors. The group’s work not only addresses current challenges in autonomous driving but also opens new possibilities for the development of more resilient and adaptable vehicle safety systems.

The Department of Automotive Technologies is proud of the team’s achievements and their ongoing contribution to the advancement of intelligent mobility solutions.

New PhD students joined the laser and additive technologies research group

In February this year, a new PHD student joined the laser and additive technologies research group, who researches the possibilities and limitations of AM specific design, as well as its effects on the 3D metal printing process and the properties of the printed part.

Innovative Vehicle Technology within Horizon Europe

Jointly with BME-FIEK our project proposal on Horizon proposal is announced. One of the latest installment of BME LinkedIn series, #MeetBMEresearchers, is now live and available for viewing.

You can access the post at this link.

Új publikációja jelent meg a Safety and Security csoportnak a Vehicular Communications folyóiratban

A jövőbeli közlekedés várhatóan összekapcsolt, együttműködő és nagymértékben automatizált lesz, ami új kihívások elé állítja az autóipart.

A BME Automated Drive Lab Safety and Security Kutatócsoportja új publikációt adott ki PETHŐ Zsombor, SZALAY Zsolt, és az TÖRÖK Árpád a V2V kommunikáció biztonsági kérdéseire összpontosítva, különös tekintettel a kibertámadásokra érzékeny hálózati teljesítményre és a járműdinamikai tényezőkre.

Letették az alapjait egy új vizsgálati módszertannak, amely lehetővé teszi a biztonsági és a kiberbiztonsági szempontok együttes vizsgálatát. Ez az új koncepció a homologizációban és az autonóm járművezérlésben is alkalmazható lesz.

Olvassa el a kiadványt, és tudjon meg többet az új #SRI indikátorról és más #CCAM rendszerbiztonsági tényezőkről itt:
https://lnkd.in/gJR8dNam