Jakob Kaths

• Dr.-Ing.
• Product Owner at Vector Informatik GmbH

The continuous enhancement of X-in-the-Loop (XiL) simulation methods is one key to efficiently test advanced vehicle control functions and ensure high software quality under a rising cost and time pressure. Systems, which control vehicles based on sensor perception can already be evaluated in XiL simulations. However, future vehicles will not exclu...

In this contribution, a methodology for simulating multiple vehicles under test with driving dynamics models is presented. The virtual test drives that are co-ducted in this setup are used for the evaluation of cooperative adaptive cruise control systems. This pre-series function for collaborative platooning relies on environment sensors as well as...

Research projects related to the TUM-VT bicycle simulator: • RASCH-Bicycle Highways: Designing Efficient and Secure Infrastructure • RadOnTime-Effects of Countdown Timers on Bicycle Traffic • @CITY-Automated Vehicles and Intelligent Traffic in the City • @CITY-AF-Automated Driving Functions

Urban environments often involve the interaction of numerous vulnerable road users both with each other and with motorized road users. Many factors influence the ability of pedestrians and cyclists to efficiently move through such environments, and in order to study these, we use a bicycle simulator to conduct studies with test subjects, evaluating...

Vor dem Hintergrund immer komplexer werdender Fahrfunktionen und deren Vernetzung im Fahrzeug hat sich die Simulation als Standard-Werkzeug von der Funktionsentwicklung bis zur Absicherung etabliert. Doch wie lassen sich virtuelle Fahrversuche disziplinübergreifend, flexibel und nachhaltig nutzen? Standards wie OpenDRIVE, OpenSCENARIO, OSI, FMI und...

Operational behavior models are used in traffic simulations to represent the subconscious, short-term decisions made by road users to respond to other road users, the infrastructure and traffic control measures. Calibration and validation of these models can be achieved using observed trajectory data from real road users. For lane bound traffic, it...

Urban environments are more or less characterized by active travel modes, including the bicycle usage. Present transport infrastructure for bicyclists can often not serve the high traffic volumes, especially in rush hours. Therefore, introducing novel and specific traffic control strategies for bicyclists might serve as supportive element for impro...

Recent developments such as increasing automation and connectivity of vehicles as well as new regulations for real driving emissions lead to a stronger consideration of traffic and traffic control in automotive development. The increasing complexity of vehicular systems requires a highly virtualized development process. Therefore, a co-simulation s...

This paper presents a co-simulation for virtual test drives in virtual traffic. DYNA4 is used to simulate the vehicle and SUMO is used for the surrounding traffic. The co-simulation setup is used to examine the influence of cooperative traffic systems and automated driving functions on driving safety and efficiency. Positive effects are found in co...

In this paper, a virtual environment for development and test of autonomous valet parking is presented. The self-localization of the vehicle is crucial for this application. It is demonstrated that virtual development is an effective alternative to real testdrives.

Coupling vehicle simulation (DYNA4) with microscopic traffic flow simulation (SUMO)

Co-Simulation of virtual vehicle (DYNA4) and virtual traffic (SUMO) to test and develop object detection

Vorwort Sehr geehrte Damen und Herren, Fahrerassistenzsysteme und insbesondere automatisches Fahren definieren die Mobilität der Zukunft in erheblichem Maße. Zahlreiche Systeme sind heute fest im Markt etabliert. Studien belegen, dass durch deren Einführung nicht nur der Fahrkomfort, sondern vor allem die Sicherheit des Fahrers und seiner Umgebung...

Inhalt Zukünftiges Mobilitätsverhalten Mobilität 2050 – Selfdriving-eCo-Hyperflyyer, Drahtesel, oder was? . . . . . . . . . . . . . . . . . . .1 K. C. Keller, Aveniture GmbH, Freinsheim Ökobilanzierung Einfluss von Zellbauform und Zellchemie auf die Ökobilanz von batterieelektrischen Fahrzeugen . . . . . . .5 T. Semper, M. Clauß, IAV GmbH, Stollber...

An innovative traffic signal control for connected transportation systems is presented in this thesis. The developed technique aims to use the data stemming from connected vehicles as a basis for control decisions while simultaneously influencing the vehicles’ behavior by means of a speed advisory system. The goal of the developed cooperative signa...

Integration of DYNA4 Car Professional with SUMO to perform virtual testing of automated vehicles in complex surrounding traffic

Im vorliegenden Beitrag wird ein Verfahren zur kooperativen Lichtsignalsteuerung vorgestellt, welches die gleichzeitige Optimierung der Schaltzeitpunkte von Lichtsignalen und der Annäherungsgeschwindigkeiten von Fahrzeugen anstrebt. Das Verfahren zielt dabei auf größtmög-liche Flexibilität der Signalisierung ab und erlaubt dennoch die Ermittlung vo...

This paper demonstrates a method for integrating microscopic traffic simulation and vehicle dynamics simulation using Simulation of Urban MObility (SUMO) and IPG CarMaker. The goal is to combine the specific strength of both types of tools and this goal is achieved using the Simulink interfaces that are available for both simulation tools. Two use-...

In this paper, a control algorithm is presented that integrates connected vehicles in the feedback loop of traffic signal control, which results in highly flexible, signal-group based signalization and speed adaptation of vehicles. The method is based on Model Predictive Control and incorporates a mutual optimization of both traffic signal timings...

In recent research projects a variety of concepts have been developed to integrate traffic signals in connected vehicle environments. This paper presents an overview over arising chances and challenges taking into account three different but closely interrelated viewpoints: the functional, the organizational and the technical viewpoint. A case stud...

Cooperative systems exploit potential beyond conventional intelligent transportation systems. Development and research concerning such systems in urban areas mainly focus on signalized intersections. Cooperative systems can act to influence the signalization, the drivers, or a combination of both signalization and drivers. In this article, selected...

In this document, an approach for a cooperative traffic signal control will be introduced that is based on the technique of model predictive control. The described approach is of theoretic nature and comprises a simple microscopic traffic flow model in order to integrate the estimation of the traffic state and the derivation of optimal signalizatio...