Synchronized Mobility

Intelligent transport systems of the future begin to adapt the swarm behavior of animals, using different forms of synchronization to optimize traffic flows and contribute to sustainable mobility developments.

The Saxon high-tech initiative »Synchrone Mobilität 2023« (Synchronized Mobility) bundles the core competencies of both Saxon industry and research organizations. Currently, more than 40 partners are working together to demonstrate innovative research results regarding new vehicle concepts, assistance functions, IT networks, communication, locating and navigation technologies as well as cooperative traffic management in the Dresden area. The city has been selected as model region for automated urban driving.

The research initiative will continue seamlessly the successfully implemented model projects from the recent initiatives »Model region Electromobility in Saxony« (»Modellregion Elektromobilität Sachsen«) as well as »Showcase Bavaria-Saxony ELECTRIC MOBILITY CONNECTS«. Intelligent transport systems are closely related to electromobility with all its ecological advantages, but without neglecting the respective technological limitations. These can be overcome partially by using information and communication technologies in various traffic domains and in the field of charging infrastructure.



Lane-Precise Localization for Intelligent Transport Systems

In addition to vehicle sensors for environment perception and digital maps for navigation, the highly precise and lane-selective positioning of vehicles is an important precondition for automated driving functions. The IVS-LOK project realizes a suitable communication infrastructure for connecting superordinate reference receivers. On the other hand, a network of superordinate reference stations, spread across the entire urban catchment, provides virtual observables and correction data. With this network, it is possible to receive current GNSS corrections and virtual code and phase values for any location within the Dresden test bed. These location-specific data are transmitted to a traffic light system within the corridor, which is equipped with a RSU (Road-Side-Unit).

Fraunhofer IVI Contribution

  • Definition of protocols for the exchange of positioning data
  • Generation of correction data for the planned correction network and deployment of the data as highly precise positioning information via an existing cloud infrastructure
  • Evaluation campaigns with measurement vehicle in the urban Dresden area and rural surroundings
  • Identification of trouble spots using Key Performance Indicators (KPIs) for reproducibility of evaluation campaigns
  • Design of the overall system and vehicle integration
  • Assessment and comparison of various strategies for the supply of reference information from the transport infrastructure to the connected vehicles based on the KPIs


Resource Management System for Highly Automated Urban Traffic

The REMAS project is creating a management solution for the realization of automated driving in urban areas. To achieve this, research and development work from various fields is combined, including automotive, information and communication technologies, computer science and traffic engineering. The project aim is to exploit knowledge on systems, methods and technologies and trigger their further development towards new products. In addition, the project helps the Saxon economy to unlock innovation potential in the areas of automated and connected driving as well as intelligent transport systems.

Fraunhofer IVI Contribution

  • Design of the overall REMAS system and the partial implementation of the central components and functionalities for real-time coordination and monitoring of resources
  • Participation in the development of a hybrid simulation environment from the perspectives of both vehicle and transport system
  • Implementation of operating functions, for instance for resource planning, gathering of requirements or specification of test scenarios


Continuous Support of Connected and Automated Driving for Mixed Traffic With Heterogeneously Equipped Vehicles

HarmonizeDD focuses on the seamless integration of automated and conventional vehicles (mixed traffic) in inner-city areas, as well as the integration of hybrid cloud and communication systems including both the transport infrastructure and the complementary use of innovative communication technologies, protocols and user interfaces. The approaches will be evaluated within the Digital Test Bed Dresden/Saxony with the purpose of drawing conclusions for future urban transport and communication infrastructures.

Fraunhofer IVI Contribution

  • Design of communication protocols for connecting vehicles and transport infrastructure, as well as development of solutions for equipping conntected vehicles
  • Definition of application cases, corresponding traffic scenarios and detection of potential critical situations in mixed traffic
  • Implementation of hybrid cloud systems (comprehensive mobile cloud and roadside unit cloud)
  • Development of algorithms for innovative applications and services in transportation


Synchronized Automated Driving in Urban Areas

Developing innovative solutions for anticipatory automated driving in coordination with other road users and the transport infrastructure is at the heart of the SYNCAR project. This includes traffic optimization by providing specific driving recommendations for vehicles or vehicle types as well as the development of new methods for processing environmental information from vehicle sensors, visualizing them within the vehicle and providing them to the infrastructure. The processes and functionalities will be prototypically implemented and demonstrated with test drives – partly in real traffic.

Fraunhofer IVI Contribution

  • Development of new methods for the control of highly automated vehicles with the help of targeted recommendations for speed, lane selection, driving distance, as well as driving in throngs in "green waves"
  • Implementation of solutions for analyzing and processing data by the infrastructure in order to combine traffic-related objects on a road section in a dynamic object model  
  • Contribution to the on-board visualisation of maneuver recommendations and other functions in the vehicle via a specific prototypical user interface
  • Simulation-based estimation of impact potentials for the methods and functions developed within the project


Communication Technologies for Intelligent Transport Systems in Saxony

The IVS-KOM project aims at the detailed specification and implementation of a reference system for vehicle communication for connected mobility. This system will be implemented, expanding standardized communication technologies and protocols for highly automated cooperative driving and investigating options for the use of heterogeneous communication technologies (WLAN-11p, mobile communications, DAB+) and their integration into a hybrid integral system. The solution developed within the project will be integrated, tested and validated within corridors of the Digital Test Bed Dresden/Saxony under the »Synchronized Mobility 2023« initiative.

Fraunhofer IVI Contribution

  • Component specification for the reference communication system, as well as their implementation and testing
  • Development of protocol stack components for different platforms and expansion of the components to include messaging formats complying with the requirements for high-automation cooperative driving
  • Equipping of test vehicles and contribution to the planning, execution and evaluation of communication experiments in the laboratory and in the Digital Test Bed Dresden/Saxony


Autonomous Electric Vehicles with Automated Charging Infrastructure

The objective of the AULA project is to develop a fully automated electric car and its functionally safe, automated charging system in semi-public areas without user interference. Pre-series software and hardware components of the vehicle will be developed as well as the contact system and its corresponding security software. The project furthermore aims to achieve significant technological advances in the fields of automated driving functions, fast charging systems and automation of re-charging of vehicles, leading up to the development of ready-for-approval pre-series products.

Fraunhofer IVI Contribution

  • Development of the overall electro-mechanical contact system for the fast re-charging of cars and small commercial vehicles
  • Development of the methodology for the precise locating of vehicles at charging stations as well as the entire fully automated charging process including necessary sensors and communication systems
  • Design, implementation and registration of a safety concept for power transmission


Scenario-Based Platform for the Inspection of Automated Driving Functions

The SePIA project will develop a complex validation platform for highly automated driving, electronic subsystems and the overall vehicle. The platform integrates real scenarios with extensive accident data, information from accident reconstruction reports as well as vehicle data and video recordings. Finally, the platform will be tested and demonstrated in a hardware/software application environment.  

Fraunhofer IVI Contribution

  • Development of application specifications and the validation platform
  • Integration and processing of accident data
  • Processing and detecting the criticality of accident and report data
  • Development and analysis of critical scenarios yet missing


FOCUS ON BIKES: Cross-Transport Mode Warning and Support System for Cyclists

The objective of RAD IM FOKUS is the design and prototypical implementation of a warning and support system across all transport modes with a focus on cyclists. Through the integration and connection of different transport modes such as bicycles, passenger cars and public transport, the comprehensive study of safety aspects is possible. The warnings issued in critical situations are generated on the basis of the fundamental analysis, classification and modeling of hazard situations created with the help of statistical data (accident data, historical data) as well as dynamic data (latest bicycle sensor data, signals of other traffic participants and traffic lights). The results will be used to support novel human-machine interface (HMI) concepts for bicycles allowing a context-based and user-adaptive complex interaction.

Fraunhofer IVI Contribution

  • Development of a backend/background system able to provide data on dangerous/critical areas etc.
  • Development of hazard models and methods for hazard detection, development of a warning model
  • Specification and development of an interaction model for the HMI concept
  • Field tests and evaluation within the Digital Test Bed Dresden/Saxony