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.

CiLoCharging: Establishing emobility in urban logistics

21. February 2022 The new CiLoCharging research project is testing emobility in urban logistics with 16-ton trucks. Questions to Jürgen Götz from consortium leader Siemens.

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.

Automated and connected driving: Testfeldmonitor makes projects and testfields transparent

15. November 2021 There are 24 test fields and 140 projects related to automated and connected driving in Germany. Hardly anyone knows them. provides remedy.

Software at OEMs: Collaboration instead of “Clash of Clans” at Stellantis

21. October 2021 Having 14 car brands under one roof also means leveraging synergies. Questions for the head of software, hardware and AI development at Stellantis Joachim Langenwalter.

Software standards: A must for the automotive industry?

21. October 2021 "VW's Cariad software unit aims to disempower Bosch, Conti and ZF". "BMW calls for joint German operating system". "The software still works like a flea circus". Just a glance at some of the daily newspaper headlines of recent weeks shows: There is a need for discussion here. Our topic talk in cooperation with automotiveIT gets to the bottom of the matter.

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.

Automotive industry: Artificial intelligence as a differentiating factor

18. August 2021 Michael Nolting's book "Artificial Intelligence in the Automotive Industry" looks at why artificial intelligence will become the competitive differentiator.

ASIMI Fact Check: Automotive Software Architectures

11. August 2021 As part of the Automotive Software Interfaces & Middleware Initiative (ASIMI), we asked experts from the automotive industry - about trends, their significance, their benefits as well as the challenges.

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.

Operating systems in the car: what to buy, what to do yourself?

6. August 2021 Does an OEM-owned operating system for vehicles make sense? It is clear that the costs of keeping systems "up to date" will be immense in the long run. A discussion at CCI Summit 2021.

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.

Connected car services with great potential

6. August 2021 Vehicle connectivity and automation is becoming increasingly important in the automotive industry. Particularly high growth potential is expected for connected car services, according to a recent study by IW Consult and Fraunhofer IAO.

Predicting movements by autonomous agents

31. July 2021 To predict movements, many trajectory options must be taken into consideration and prioritized. The FloMo model works with probabilities and has been trained on the basis of three datasets. Its performance is improved by a proposed method of stabilizing training flows.

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.

How artificial intelligence recognizes objects and looks into the future

30. April 2021 What vehicles are on the road, where they are likely to go, and when they will probably change lanes: Artificial intelligence sifts through gigantic amounts of data in fractions of a second, providing new insights into traffic and creating a basis for value-added services.

Highly automated vehicles: How drivers react to them

12. April 2021 When highly automated vehicles are on the road, human drivers tend to adapt their behavior, driving more slowly and safely. New findings from traffic psychologist Vanessa Stange from the Technische Universität Braunschweig.

Many sensors, one digital twin: How does it work?

12. March 2021 In the coming months, the number of sensors in the Providentia++ project will more than triple. To fuse the data from cameras, radars, and lidars, scientists work with probabilities and evaluation pipelines. Questions for Leah Strand from the TU Munich.

Agora Verkehrswende: Does connected driving save energy?

26. February 2021 How does connected and automated driving affect vehicles’ net energy consumption? Marena Pützschler, specialist for new mobility and automated driving at Agora Verkehrswende, has studied this question. She tells us about it here.

Is autonomous driving safe? Questions for accident researcher Matthias Kühn

26. February 2021 In Germany, level 4 autonomous vehicles will be allowed to drive on the roads from 2022, according to a draft bill from the Federal Ministry of Transport. Accident researcher Dr.-Ing. Matthias Kühn discusses autonomous driving and safety.

Autonomous driving: High-resolution 3D road maps as an additional sensor

26. February 2021 High-resolution road maps are a prerequisite for automated and autonomous driving. They provide vehicles with the framework in which they can move. 3D Mapping Solutions is measuring the streets with millimeter precision and creating HD maps for Providentia++.

Comparison of test fields with external infrastructure for automated and autonomous driving

20. February 2021 Intelligent Transport Systems (ITS) with external infrastructure: 350 global publications and 40 test sites for automated and autonomous driving compared.

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.

Connected traffic: A fact check of the projected benefits

2. December 2020 Connected traffic is one of the four central areas that promise significant growth for the automotive industry, next to autonomous driving, electromobility, and shared mobility. How is the market developing, and how can connected driving benefit traffic? A fact check.

City, country, highway: ACCorD starts with three new test fields in 2021

26. November 2020 The first sensor stations of the ACCorD project will go into operation in spring 2021. Test fields of the RWTH Aachen’s Institute for Automotive Engineering are set in the city, in the country, and on the highway. Traffic data will be sent to test vehicles and stored for research purposes.

Trendone: 5 technology trends – and how Providentia++ uses them

19. November 2020 Machine learning, the Internet of Things, and predictive analytics as top cross-industry trends; automation as one of the mega-trends; and autonomous driving about to take off: Trend researcher Trendone has looked at technology trends.

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 radio makes V2X communication efficient

28. October 2020 Providentia++-scientist Venkatnarayanan Lakshminarasimhan from the Technical University of Munich is researching how vehicles communicate with each other and with the infrastructure. His goal: to use network resources as efficiently as possible.

Patents for autonomous driving: Data management is most important

21. October 2020 It is not OEMs that will play the main role in future innovations regarding autonomous driving, but companies that focus on data management. That’s according to a recent study by attorneys at the Grünecker patent law firm, who analyzed patent applications.

Autonomous vehicles: Which sensors are used

14. October 2020 The sensors in your vehicle are only as good as circumstances allow. Complementing in-vehicle sensors with external information increases both precision and safety. An overview of sensors that are currently installed in vehicles, from cameras to lidar.

Autonomous driving: New impulses for the city

7. October 2020 How automated and autonomous driving influences and changes traffic in the city: This is one focus of Fraunhofer IAO’s study on autonomous driving in the context of the city of tomorrow. Some possible opportunities for urban traffic.

Bird’s-eye view: More precision for the digital twin

26. September 2020 To find out how accurate the measurements of the digital twin are, fortiss and the DLR dispatched a helicopter with an integrated camera system. This allowed them to determine the exact position of the vehicles on the 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.

Agora Verkehrswende: 8 insights into automobile automation

17. September 2020 Fewer parking places, more data protection, comfortable driving: The Agora Verkehrswende initiative has compiled the most important insights into the automation of the automobile. Here, we have selected eight of the most relevant insights for you.

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++.

Auto-calibration of radars and cameras for ITS

27. August 2020 Most intelligent transportation systems use a combination of radar sensors and cameras for the vehicle perception. Auto-calibration of these types of sensors is complex. This publication proposes a data-driven method based on neural networks.

Providentia: Validation of intelligent infrastructure systems

20. August 2020 How can aerial image analysis be used to validate intelligent infrastructure systems, and how can this benefit automated vehicles? These questions are the focus of this scientific publication, which takes the Providentia system as an example.

C-V2X: Architecture for deployment in moving network convoys

13. August 2020 Reliable V2X communication is crucial for the development of cooperative intelligent transportation systems (ITS) – and for improving traffic safety and efficiency. A research topic of Providentia++: The approach of moving network convoys.

Overview of current scientific publications

1. May 2020 Since the start of the Providentia research project in 2017, various scientific papers have been published – many of them in English. An overview, including topics such as 5G-based intelligent infrastructure, pedestrian motion prediction, and moving network convoys.