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 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
  • Yildirim Dülgar, Sven-Eric Molzahn, Hubert Rehborn, Micha Koller, Boris S. Kerner, Dominik Wegerle, Michael Schreckenberg, Michael Menth, and Sergey L. Klenov: Empirical Random Phase Transitions between Free Flow and Synchronized Flow at Highway Bottlenecks, in Journal of Intelligent Transportation System, Taylor & Francis, June 2019.
Conference Papers
  • Yildirim Dülgar, Michael Menth, Hubert Rehborn, and Micha Koller: Analysis of Microstructures in Traffic Jams on Highways Based on Drone Observations, in Proceedings of the IEEE International Conference on Vehicular Electronics and Safety (ICVES), September 2019, Cairo, Egypt.
  • Yildirim Dülgar, Hubert Rehborn, Sven-Eric Molzahn, Micha Koller, Michael Menth, Boris Kerner, and Michael Schreckenberg: A Study for Merging of Automated Vehicles, in Proceedings of the 27th Aachen Colloquium Automobile and Engine Technology, October 2018, Aachen, Germany.
  • Yildirim Dülgar, Michael Menth, Hubert Rehborn, and Micha Koller: Heterogeneity of Microscopic Congested Traffic Data Based on Drone Measurements, in Proceedings of the 8th IEEE International Conference on Connected Vehicles and Expo (ICCVE), November 2019, Graz, Austria.
  • Yildirim Dülgar, Hubert Rehborn, Sven-Eric Molzahn, Boris Kerner, and Michael Schreckenberg: Towards empirical detection of F→S→F transitions indicating subsequent traffic breakdown, in Proceedings of the 25th Intelligent Transportation Systems World Congress (ITS World Congress), September 2018, Copenhagen, Denmark.
  • Yildirim Dülgar, Hubert Rehborn, and Boris S. Kerner: Verkehrsphasenübergänge an Autobahnengstellen vor einem Verkehrszusammenbruch, in Proceedings of the 5th HEUREKA’20 Optimierung im Verkehr und Transport, April 2020, Stuttgart, Germany.
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: Verfahren zum Unterstützen eines Fahrzeuges beim Einfädeln in eine Fahrspur, DE 10 2018 009 651 A1.
  • Dülgar, Koller, Rehborn. Verfahren zur Verkehrszustandsüberwachung, DE 10 2018 009 429 A1.
  • Molzahn, Rehborn, Auer, Dülgar, Menth: Verfahren zum Steuern eines für einen autonomen Fahrbetrieb ausgebildeten Assistenzsystems eines Fahrzeuges, DE 10 2018 003 572 A1.
  • Dülgar, Koller, Rehborn: Verfahren zur Ausgabe einer Überholempfehlung. DE 10 2017 009 609 A1.
  • Dülgar, Rehborn, Starman, Wenz: 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: Verfahren zur Verkehrsprognose, DE 10 2017 010 292 A1.
  • Dülgar, Koller, Rehborn, Starman: Verfahren zum Einstellen eines Soll-Abstands zwischen Kraftfahrzeugen, DE 10 2017 009 532 A1.
  • Dülgar, Koller, Rehborn, Starman: Verfahren zur Darstellung einer Ankunftszeit, DE 10 2017 009 875 A1.
  • Birk, Bogner, Dülgar, Rehborn, Starman, Turber: Verfahren zum Darstellen von Routeninformationen, DE 10 2017 011 205 A1.
  • Auer, Dülgar, Koller, Molzahn, Rehborn: Verfahren zum Darstellen von Routeninformationen, DE 10 2018 001 863 A1.
  • Dülgar, Koller, Rehborn: Verfahren zur Bewertung von standortspezifischen Fahrzeugdaten, DE 10 2018 004 922 A1.
  • Rehborn, Dülgar: Verfahren zur Routenplanung, DE 10 2018 007 298 A1.
  • Dülgar, Molzahn, Rehborn: 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.