Kommunikationsnetze

Yildirim Dülgar, M.Sc.

Telefon

+49 176 30958748

+49 178 1483949

   
E-Mail

yildirim.duelgar(at)daimler.com

yildirim.duelgar(at)gmail.com

Anschrift

Mercedes-Benz AG

Hauspostcode G177

Konrad-Zuse-Straße 10

71034 Böblingen


Research

Automated driving is an extremely diversified topic which brings various tasks to be researched and solved. My doctoral thesis is carried out at Mercedes-Benz R&D in Sindelfingen (Germany) which is embedded in a BMWi (German Federal Ministry for Economic Affairs and Energy) collaboration project. Novel spatiotemporal traffic phenomena based on empirical traffic data are identified, quantified and analyzed in detail. Several traffic data sources are used to reconstruct and understand real traffic: floating car data from a connected vehicle fleet, drone data and induction loop detectors.

Previously, I studied Mathematics (B.Sc. and M.Sc.) at the University of Tübingen with specialization in numerical mathematics. I worked at Mercedes-Benz in Böblingen (Germany) and Sunnyvale (California) for 2 years, both in the autonomous driving department.

Research Field and Qualifications

Traffic data analysis based on a connected vehicle fleet for automated vehicles, e.g., floating car data, drone data and induction loop detectors. Investigations of time headways between consecutive vehicles for lane changing and merging maneuvers. Infrastructure based dynamic route clearance and information for highly and full automated Driving. Programming, Mathematics, Data Analysis, Traffic Theories, Automated Driving.

 

Research Project

MEC-View project: Mobile Edge Computing Based Object Detection for Automated Driving. The project pursues the objective of automated driving in complex urban traffic scenarios, e.g., automatically entering a priority road. By this, MEC-View strives for a safer and more efficient automated driving in urban traffic. The project is funded by the German Federal Ministry of Economic Affairs and Energy (BMWi). Website: www.mec-view.de

 

Teaching

  • Teaching assistant in Numerical Mathematics (Prof. Dr. Christian Lubich), winter semester 2014/2015.
  • Teaching assistant in Mathematical Analysis 2 (Prof. Dr. Christian Lubich), summer semester 2014.
  • Teaching assistant in Mathematical Analysis 1 (Prof. Dr. Christian Lubich), winter semester 2013/2014.

 

List of Publications

Journal Paper
Conference Papers
Posters and Demos
  • Yildirim Dülgar and Hubert Rehborn: Energy Consumption by Vehicles in Different Scenarios Based on a Measured Consumption Matrix, May 2020, Ulm, Germany.
  • Yildirim Dülgar and Michael Menth: Emergence of Spatiotemporal Traffic Phenomena based on Floating Car Data and Drone Measurements, January 2020, Tübingen, Germany.
  • Yildirim Dülgar: Stauentstehung und ihre Ursachen in vernetzten Fahrzeugpositionsdaten, November 2019, Sindelfingen, Germany.
  • Yildirim Dülgar and Hubert Rehborn: Influencing factors on automated driving in urban areas / Einflussfaktoren auf das automatische Fahren im urbanen Raum, July 2018, Ulm, Germany.
Special Interest Session
  • ITS World Congress 2018, Session “Mobile Edge Computing Based Object Detection for Automated Driving”, Presentation “Empirical and Simulated Probe Vehicle Data for Traffic Congestion Detection”, September 2018, Copenhagen, Denmark.
Talks
  • Yildirim Dülgar: Emergence of Traffic Jams Based on Connected Vehicle Position Data, 2019, Sindelfingen, Germany.
  • Yildirim Dülgar and Hubert Rehborn: Driving Lane Dependent Traffic Situations in Drone Data / Spurgenaue Verkehrssituationen in Drohnenmessungen, June 2019, Gerlingen-Schillerhöhe, Germany.
  • Yildirim Dülgar: Concept of Route Clearance for Automated Vehicles in Urban Scenarios, December 2018, Ulm, Germany.
  • Yildirim Dülgar and Hubert Rehborn: Empirical Investigations Based on Floating Car Data (FCD) at an Intersection / Empirische Untersuchungen anhand von Floating-Car-Daten (FCD) an einer Kreuzung, November 2017, Munich, Germany.
  • Yildirim Dülgar and Hubert Rehborn: Route Clearance for Automated Vehicles in the Context: Weather Service, Traffic Service, Traffic Authority, Connected Vehicles / Streckenfreigabe für das automatische Fahren im Kontext: Wetterdienst, Verkehrsdienst, Verkehrsbehörde, vernetzte Fahrzeuge, July 2018, Ulm, Germany.
  • Yildirim Dülgar, Hubert Rehborn, and Sven-Eric Molzahn: Traffic-Dependent and Dynamic Route Clearance for Automated Vehicles / Verkehrsabhängige und dynamische Streckenfreigabe für autonome Fahrzeuge, July 2017, Renningen, Germany.
Documentations
  • Hubert Rehborn, Yildirim Dülgar, Sven-Eric Molzahn, Klaus Birk, and Stephan Bogner: Infotainment & Telematics – Ambient Live Traffic 2018, in collaboration with Intuity Media Lab, 2018, Stuttgart, Germany.
  • Hubert Rehborn, Yildirim Dülgar, Sven-Eric Molzahn, Jonas Lauer, Marco Thaler, Lukas Umek, and Martin Fengler: Observing System Simulation Experiment (OSSE): Study about road weather for vehicles / OSSE-Studie zu Straßenwetter für Fahrzeuge, in collaboration with Meteomatics AG, 2018, St. Gallen, Switzerland.
Patents
  • Dülgar, Menth, Rehborn: Method for supporting a vehicle when being threaded into a traffic lane / Verfahren zum Unterstützen eines Fahrzeuges beim Einfädeln in eine Fahrspur, DE 10 2018 009 651 A1.
  • Dülgar, Koller, Rehborn: Procedure for traffic condition monitoring / Verfahren zur Verkehrszustandsüberwachung, DE 10 2018 009 429 A1.
  • Molzahn, Rehborn, Auer, Dülgar, Menth: Method for controlling an assistance system of a vehicle designed for an autonomous driving operation / Verfahren zum Steuern eines für einen autonomen Fahrbetrieb ausgebildeten Assistenzsystems eines Fahrzeuges, DE 10 2018 003 572 A1.
  • Dülgar, Koller, Rehborn: Procedure for issuing a refurbishment recommendation / Verfahren zur Ausgabe einer Überholempfehlung. DE 10 2017 009 609 A1.
  • Dülgar, Rehborn, Starman, Wenz: Method for user-specific display / Verfahren zur nutzerspezifischen Anzeige, DE 10 2017 006 944 A1.
  • Dülgar, Rehborn: Verfahren zum Einscheren autonomer Fahrzeuge bei freiem Verkehr, under submission.
  • Auer, Dülgar, Molzahn, Rehborn: Traffic forecasting method / Verfahren zur Verkehrsprognose, DE 10 2017 010 292 A1.
  • Dülgar, Koller, Rehborn, Starman: Method for setting a desired distance between motor vehicles / Verfahren zum Einstellen eines Soll-Abstands zwischen Kraftfahrzeugen, DE 10 2017 009 532 A1.
  • Dülgar, Koller, Rehborn, Starman: Method for displaying an arrival time / Verfahren zur Darstellung einer Ankunftszeit, DE 10 2017 009 875 A1.
  • Birk, Bogner, Dülgar, Rehborn, Starman, Turber: Method for displaying route information / Verfahren zum Darstellen von Routeninformationen, DE 10 2017 011 205 A1.
  • Auer, Dülgar, Koller, Molzahn, Rehborn: Method for displaying route information / Verfahren zum Darstellen von Routeninformationen, DE 10 2018 001 863 A1.
  • Dülgar, Koller, Rehborn: Method for evaluating location-specific vehicle data / Verfahren zur Bewertung von standortspezifischen Fahrzeugdaten, DE 10 2018 004 922 A1.
  • Rehborn, Dülgar: Method for route planning / Verfahren zur Routenplanung, DE 10 2018 007 298 A1.
  • Dülgar, Molzahn, Rehborn: Information system of a motor vehicle, motor vehicle and method for informing passengers of a motor vehicle / Informationssystem eines Kraftfahrzeugs, Kraftfahrzeug sowie Verfahren zur Information von Passagieren eines Kraftfahrzeugs , DE 10 2019 001 445 A1.
  • Dülgar, Alper Eker, Remzi Künbül: Verfahren zur Bestimmung von erhöhten Parkwahrscheinlichkeiten anhand von Floating Car Data und Abstandsinformationen, under submission.
  • Dülgar, Koller, Rehborn: Verfahren zur Berücksichtigung des Zweiradaufkommens in Fahrzeugnavigationssystemen, under submission.
Theses
  • Yildirim Dülgar: Distance to Instability for Dissipative Linear Hamiltonian Systems, Master Thesis in Mathematics, University of Tübingen, April 2017.
  • Yildirim Dülgar: Method for Solving High-Dimensional Dynamic Quantum Systems with the Multiconfiguration Time-Dependent Hartree Method, Bachelor Thesis in Mathematics, University of Tübingen, February 2015.
Supervised Thesis
  • Bachelor Thesis: A Tool for Approximation of Energy Consumption by Vehicles Based on their Trajectories and a Measured Consumption Matrix, 2019/2020, Computer Science / Communication Networks, University of Tübingen, Germany.