CCAD - Cooperative, Connected and Automated Driving

Table of contents

1. 1. SivaS
      1. Objective
      2. Methodology and data collection
      3. Results and outlook
      4. About the mFUND of the BMDV
   2. SivaS in the Smart Mobility Lab (SML)
      1. Core research areas
      2. Objective in the SML

SivaS

Objective

The SivaS project (safety of connected and automated road traffic) aims to create a technical and methodological basis for systematically assessing the safety of automated driving functions. There is currently a lack of harmonized test and evaluation criteria for automated driving functions such as the freeway assistant throughout Europe.

Methodology and data collection

In order to obtain reliable data on real traffic behavior and critical traffic situations, the project uses various observation methods:

• Camera drones that record traffic events from a bird's eye view.
• Stationary cameras that are permanently installed at certain locations, e.g. on roads in Hoyerswerda.
• Mobile traffic observation from measuring vehicles with cameras, radar and LiDAR to analyze behavior from the participants' perspective.
• Simulation in the TU Dresden driving simulator: selected scenarios from real traffic are prepared and varied.

Results and outlook

• A data set with traffic observation data is being created and will be made publicly available.
• Based on the analyzed traffic patterns, test catalogs or criteria catalogs for automated driving functions are to be developed later.
• The project results can be used for the future regulation of automated vehicles, e.g. as part of European approval procedures.

About the mFUND of the BMDV

As part of the mFUND innovation initiative, the BMDV has been funding data-based research and development projects for the digital and connected mobility of the future since 2016. The project funding is supplemented by active professional networking between stakeholders from politics, business, administration and research and by the provision of open data on the Mobilithek.

Further information can be found at www.mFUND.de.

SivaS in the Smart Mobility Lab (SML)

The Smart Mobility Lab (SML) at TUD Dresden University of Technology is a state-of-the-art research environment for developing and testing future mobility solutions. Here, driving simulation, real vehicle tests and extensive scenarios of automated and connected driving are combined to make mobility safer, more efficient and more intuitive.

Core research areas

At the heart of the laboratory is a free-moving driving simulator - Dresden Driving Simulator (DDS). The highly immersive driving simulator expands these possibilities with a moving platform that generates realistic acceleration, cornering and complex maneuvers. It can be operated both stationary and on a large, specially equipped driving surface. Test subjects go through a structured process of preparation, test drive and follow-up questioning, which is accompanied and safety-monitored by trained personnel.

Objective in the SML

The Smart Mobility Lab combines virtual and real testing in a unique way, creating a research infrastructure that goes far beyond classic driving simulation. The aim is to test innovative vehicle technologies and automated driving functions under highly realistic conditions and thus make a significant contribution to the mobility of the future.