Traffic: Added value by big data

More than one petabyte data is created week by week on the Providentia++ test field. They are needed as to distinguish cars from motorcycles and bicyclists, to recognize maneuvers, to analyze accidents and to simulate traffic.


Cognition Factory: Evaluate and visualize camera data

1. July 2022 Since the beginning of research on the digital twin, AI specialist Cognition Factory GmbH has focused on processing camera data. In the meantime Dr. Claus Lenz has deployed a large-scale platform

Digital real-time twin of traffic: ready for series production

1. July 2022 Expand the test track, deploy new sensors, decentralize software architecture, fuse sensor data for 24/7 operation of a real-time digital twin, and make data packets public: TU Munich has decisively advanced the Providentia++ research project.

Elektrobit: Coining Test Lab to stationary data

11. May 2022 Elektrobit lays the foundation for Big Data evaluations of traffic data. Simon Tiedemann on the developments in P++.

„Safety Guard“: Intel uses bird’s eye view to explore new infrastructure-based safety concepts

28. April 2022 Researchers at Intel Labs are using the digital twin in the Providentia++ research project to develop a "Safety Guard" that improves road safety.

fortiss-Real-time-platform: Distribute algorithms before bottlenecks occur

10. April 2022 Data fusion, perception, and prediction were the three topics fortiss addressed in the Providentia++ research project. Bernhard Blieninger takes stock.

Autonomous driving, e-mobility, combustion engines: „Always question thought patterns“

30. March 2022 For Lutz Eckstein, "the" future concept for mobility does not exist, but rather a juxtaposition of many approaches. The professor from RWTH Aachen in conversation.

Data from the infrastructure: Managing traffic more precisely

15. February 2022 Yunex uses the data from the A9 testfield to investigate Time to Collision in more detail. A field report.

The big comparison of test fields for automated and autonomous driving

2. February 2022 Christian Creß looked at scientific publications on Intelligent Transport Systems (ITS) with external infrastructure and analyzed about 350 worldwide publications and 40 test fields for automated and autonomous driving. The "Test Field A9" scientist from the Technical University of Munich concludes, "Germany is a hotspot in research."

The top 10 articles in 2021

10. December 2021 Digital twin, safety in autonomous driving, artificial intelligence: what topics were of particular interest to Innovation Mobility readers last year?

Traffic: Added value by big data

23. November 2021 A huge amount of data is needed as to distinguish cars from motorcycles and bicyclists, to recognize maneuvers, to analyze accidents and to simulate traffic.

ITS World Congress: An industry on the way to the City Brain

9. October 2021 Providentia++ will present the current state of research at the ITS World Congress. What consortium leader Prof. Alois Knoll expects from the leading congress for intelligent transport systems and what the external infrastructure has to do with a City Brain.

CARLA: What the most used driving simulator is capable of

25. August 2021 The new CARLA simulation software can be used to run through scenarios and analyze traffic. Questions to the expert for 3-D object detection Walter Zimmer from the TU Munich.

Expanding the A9 test field: Improvisation required

6. August 2021 Expanding the A9 test section for autonomous and connected driving required a great deal of research and pragmatic decision-making. Now that it has been accomplished and the scientists are at work, we look back at eight challenges and their solutions.

Business models for the digital twin

6. August 2021 It took five years: Now the prototype for a digital twin of traffic is ready. It is the basis for a number of business models.

Resilience for sensors and algorithms: 3 errors in focus

6. July 2021 The external infrastructure plays an important role in compensating for sensor errors and making connected driving safer and more reliable. AI expert Dinu Purice from Providentia++ partner Cognition Factory is working on algorithms to improve reliability.

Plausibility checks of sensors: Particularly efficient in networks

22. June 2021 The more sensors are integrated in a network such as Providentia++, the easier it is to find errors. Intel has developed a plausibility check for the roadside infrastructure monitoring sensors. Researcher Dr. Florian Geißler on identifying and excluding bad measurements.

Traffic: Digitalizing like a real-time company

30. April 2021 The more traffic is digitalized, the better accidents and traffic jams can be prevented. Real-time decisions have long been established in companies. What can we learn from the world of business? A commentary by Prof. Alois Knoll.

Providentia++ consortium meeting: New sensor stations in early 2021

19. February 2021 At the first Providentia++ consortium meeting, it is clear: the digital twin is becoming increasingly robust and precise. And in spring 2021, five new sensor stations with more than 50 new cameras, radars, and lidars will go into operation.

Elektrobit: Making research data available through Test Lab

10. December 2020 Providentia++ partner and Continental subsidiary Elektrobit collects data from the test section on the A9 highway, making it possible to identify and analyze special scenarios such as tailgating, merging, and passing. We talk to Simon Tiedemann of Elektrobit.

The traffic of the future – TV report on Abendschau im BR

17. November 2020 What role will connected driving play in the traffic of the future? In a TV program with the topic “How do we want to live?”, Prof. Alois Knoll and consultant Markus Bonk present the Providentia++ approach and explain how the research will lead to greater safety.

Data protection: Anonymization is the ideal solution

11. November 2020 When processing personal data in compliance with the GDPR, there are often gray areas. Unless, that is, the data from autonomous vehicles or connected traffic is first anonymized and then processed. Providentia++ uses this ideal approach.

Neural networks: The challenges of object recognition

4. November 2020 Recognizing different vehicles digitally is a challenge in itself. Doing this in real time: even more so. Dr. Claus Lenz from Providentia++ partner Cognition Factory discusses meeting the challenge of identifying vehicles on the A9 highway.

How assistance systems can benefit from external infrastructure

25. September 2020 With the help of the Providentia infrastructure and the additional sensor data associated with it, driver assistance systems are able to make more farsighted decisions than before. Dr. Jens Honer from automotive supplier Valeo answers our questions.

Sensors, perception, 5G: Which technologies are essential?

18. September 2020 Sensors, perception (with object recognition and tracking, as well as data fusion), and 5G radio technology are essential for Providentia++. These technologies play a key role in digitally representing traffic, recognizing vehicles, and transmitting data in real time.

Connectivity: How it benefits urban traffic

14. September 2020 The better sensors from vehicles and infrastructure are connected, the more seamlessly the traffic area can be recorded. This benefits not only motorists, but all other road users as well. Mobility expert Prof. Dr. Alois Knoll and his vision of the mobility of the future.

How traffic data will enable new mobility services

13. September 2020 To warn of dangerous situations, avoid traffic jams, make autonomous vehicles more intelligent, and analyze traffic: These are just some of the reasons why we need traffic data. It lays the foundation for new intelligent services.

Providentia++: The four greatest challenges

3. September 2020 The technical infrastructure is in place. Radars and cameras are in operation; a digital twin has been developed. But some steps toward practical application remain to be taken. Here are the most important challenges ahead for Providentia++.