Prof. Dr. rer. nat. Martin Strehler

Professur für Mathematik

 

+49 375 536 1383 / 1388

Zimmer: PKB 363B (Kornmarkt 1, Paul-Kirchhoff-Bau)

Martin.Strehler[at]fh-zwickau.de
 

Sprechzeit

nach Vereinbarung

Anschrift

Westsächsische Hochschule Zwickau
Fakultät Physikalische Technik/Informatik
Fachgruppe Mathematik
PSF 201037
D 08012 Zwickau

  • Mathemathische Grundlagen I für Data Science (PTI01710)
  • Grundlagen Mathematik (PTI00410, Übung)
  • lineare Ordnungen auf Graphen
  • beschränkte kürzeste Wege
  • Netzwerkflüsse unter Nebenbedingungen
  • dynamische Netzwerkflüsse
  • Routingspiele auf Graphen
  • Anwendungen in der Verkehrsoptimierung
  • J. Beisegel, C. Denkert, E. Köhler, M. Krnc, N. Pivač, R. Scheffler, and M. Strehler. The Recognition Problem of Graph Search Trees. SIAM Journal on Discrete Mathematics, 35:2, 1418-1446, 2021. DOI 10.1137/20M1313301
  • J. Beisegel, E. Köhler, R. Scheffler, and M. Strehler. Linear Time LexDFS on Chordal Graphs. In Proceedings of the 28th Annual European Symposium on Algorithms, Track A (ESA 2020), volume 173 of Leibniz International Proceedings in Informatics (LIPIcs), pages 13:1–13:13, 2020. DOI 10.4230/LIPIcs.ESA.2020.13
  • J. Beisegel, N. Chiarelli, E. Köhler, M. Krnc, M. Milanič, N. Pivač, R. Scheffler, and M. Strehler. Edge elimination and weighted graph classes. In Proceedings of the 46th International Workshop on Graph-Theoretic Concepts in Computer Science WG 2020, LNCS 12301, Springer, 2020. DOI 10.1007/978-3-030-60440-0_11
  • J. Beisegel, C. Denkert, E. Köhler, M. Krnc, N. Pivač, R. Scheffler, and M. Strehler. On the end-vertex problem of graph searches. Discrete Mathematics & Theoretical Computer Science, volume 21(1), 2019. dmtcs.episciences.org/5572
  • J. Beisegel, C. Denkert, E. Köhler, M. Krnc, N. Pivač, R. Scheffler, and M. Strehler: Recognizing Graph Search Trees. In Proceedings of the 10th Latin and American Algorithms, Graphs and Optimization Symposium LAGOS 2019, Electronic Notes in Theoretical Computer Science, pp. 99-110, 2019. DOI 10.1016/j.entcs.2019.08.010 Preprint arXiv:1811.09249
  • T. Thunig, R. Scheffler, M. Strehler, and K. Nagel: Optimization and simulation of fixed-time traffic signal control in real-world applications. Procedia Computer Science, 151:826-833, 2019. (8th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications ABMTRANS'19) DOI 10.1016/j.procs.2019.04.113
  • E. Köhler and M. Strehler: Traffic Signal Optimization: combining static and dynamic models. Transportation Science 53(1), pp. 21-41, INFORMS, 2019. DOI 10.1287/trsc.2017.0760
  • R. Scheffler, M. Strehler, and L. Vargas Koch: Equilibria in routing games with edge priorities. In Proceedings of the 14th Conference of Web and Internet Economics WINE 2018, LNCS 11316, pp. 408-422, 2018. DOI 10.1007/978-3-030-04612-5_27 Preprint arxiv:1803.00865
  • R. Scheffler and M. Strehler: Optimizing Traffic Signal Settings for Public Transport Priority. In Proceedings of the 17th Workshop for Transportation Modelling, Optimization, and Systems ATMOS 2017, OASICs volume 59, pp. 9:1-9:15, 2017. DOI 10.4230/OASIcs.ATMOS.2017.9
  • M. Strehler, S. Merting, and C. Schwan: Energy-efficient shortest routes for electric and hybrid vehicles. Transportation Research Part B: Methodological, Volume 103, pages 111-135, Elsevier, 2017. DOI 10.1016/j.trb.2017.03.007
  • S. Schade and M. Strehler: The Maximum Flow Problem for Oriented Flows. In Proceedings of the 16th Workshop for Transportation Modelling, Optimization, and Systems ATMOS 2016, OASICs volume 54, pp. 7:1-7:13, 2016. DOI 10.4230/OASIcs.ATMOS.2016.7
  • R. Scheffler and M. Strehler: Optimizing Traffic Signal Timings for Mega Events. In Proceedings of the 16th Workshop for Transportation Modelling, Optimization, and Systems ATMOS 2016, OASICs volume 54, pp. 8:1-8:16, 2016. DOI 10.4230/OASIcs.ATMOS.2016.8
  • S. Merting, C. Schwan, and M. Strehler: Routing of Electric Vehicles: Constrained Shortest Path Problems with Resource Recovering Nodes. In Proceedings of the 15th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems ATMOS 2015 (G.F. Italiano and M. Schmidt, ed.), OpenAccess Series in Informatics (OASIcs), volume 48, pp. 29-41, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2015,  DOI 10.4230/OASIcs.ATMOS.2015.29.
  • C. Schwan and M. Strehler: Two FPTAS for the constrained shortest path problem applied to hybrid vehicle routing. In: Bock H., Phu H., Rannacher R., Schlöder J. (eds) Modeling, Simulation and Optimization of Complex Processes HPSC 2015. Pages 223-234, Springer, Cham, 2017. DOI 10.1007/978-3-319-67168-0_18, Preprint  arXiv:1601.02371.
  • E. Köhler and M. Strehler: Traffic signal optimization using cyclically expanded networks. Networks, 65(3):244-261, Wiley, 2015. DOI 10.1002/net.21601
  • D. Dressler and M. Strehler: Polynomial-Time Algorithms for Special Cases of the Maximum Confluent Flow Problem. Discrete Applied Mathematics, 163:142–154, 2014. DOI 10.1016/j.dam.2013.07.012
  • M. Strehler: Ganz schnell raus! Bild der Wissenschaft plus, pages 22–25, 2013.
  • E. Köhler and M. Strehler: Combining static and dynamic models - Traffic signal optimization and the inherent load-dependent travel times of cyclically time-expanded networks. In Proceedings of the 15th Meeting of the European Working Group on Transportation, Elsevier, 2012.  DOI 10.1016/j.sbspro.2012.09.827
  • M. Strehler. Signalized Flows – optimizing traffic signals and guideposts and related network flow problems. PhD thesis, Brandenburgische Technische Universität, Cottbus, Germany, 2012.
  • E. Köhler and M. Strehler: Lichtsignalanlagenoptimierung mit zyklisch expandierten Netzwerken. In Tagungsband der Heureka '11, FGSV-Verlag, 2011.
  • E. Köhler and M. Strehler: Traffic Signal Optimization Using Cyclically Expanded Networks. In Proceedings of the 10th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems ATMOS 2010 (T. Erlebach and M. Lübbecke, ed.), OpenAccess Series in Informatics (OASIcs), volume 14, pp. 114–129, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2010. DOI 10.4230/OASIcs.ATMOS.2010.114
  • D. Dressler and M. Strehler: Capacitated Confluent Flows: Complexity and Algorithms. In Proceedings of the 7th International Conference on Algorithms and Complexity CIAC 2010, LNCS 6078, pp. 347–358, Springer, Heidelberg, 2010. DOI 10.1007/978-3-642-13073-1_31
  • M. Strehler. Fehlerdetektion in strukturierten Oberflächen. In Handbuch zur industriellen Bildverarbeitung, pages 142–144. Fraunhofer IRB Verlag, 2008.
  • M. Strehler. Fast iterative plane detecting in range images and its applications for mobile systems. In Proceedings of the 8th Conference on Optical 3-D Measurement Techniques, 2007.
  • J. Pannekamp and Martin Strehler. 3D-Objekt- und Lageerkennung mit Laufzeitkameras. In Proceedings of the 9th Workshop 3D-NordOst, 2006.
  • M. Strehler. Optimierung von Kursachsen für die Binnenschifffahrt. Diplomarbeit, Technische Universität Chemnitz, 2006.
  • A traffic routing game with edge priorities. Workshop Optimierung 2019, Olbernhau, März 2019.
  • Nash equilibria in network routing games. Forschungsseminar am Andrej Marušič Institut, FAMNIT, Univerza na Primorskem, Koper, März 2019.
  • Equilibria in routing games with edge priorities. 14th Conference on Web and Internet Economics WINE 2018, Oxford, Dezember 2018.
  • Queues in the cyclically time-expanded network model. 2nd Workshop on Dynamic Traffic Models in Transportation Science, Schloss Dagstuhl, März 2018.
  • Der (Um-)weg ist das Ziel. WiMa-Kongress an der Universität Ulm, November 2016.
  • Optimizing Traffic Signal Settings for Mega Events. 16th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems ATMOS, Aarhus, Dänemark, August 2016.
  • Traffic Signal Optimization and User Equilibria. Workshop on Dynamic Traffic Models in Transportation Science, Schloss Dagstuhl, Oktober 2015.
  • Combining Optimal Control and Combinatorial Optimization Approaches for Energy-efficient Routing of Hybrid Vehicles. 6th International Conference on High Performance Scientific Computing HPSC 2015, Hanoi, März 2015.
  • Optimizing traffic signals and traffic assignment. Workshop on Graph Theory, Algorithms and Applications, Erice, September 2014.
  • Optimizing traffic signals. 20th Conference of the International Federation of Operational Research Societies IFORS, Barcelona, Juli 2014.
  • Combining static and dynamic models for traffic signal optimization. 15th Meeting of the Euro Working Group on Transportation EWGT, Paris, September 2012.
  • Konfluente Netzwerkflüsse. Siemens Workshop Angewandte Diskrete Optimierung, Pommersfelden, Juni 2011.
  • Signalanlagenoptimierung mit zyklisch expandierten Netzwerken. Konferenz Heureka ’11, Stuttgart, März 2011.
  • Polynomial cases of the Maximum Confluent Flow Problem. Conference on Optimal Discrete Structures and Algorithms ODSA, Rostock, September 2010.
  • Traffic signal optimization using cyclically expanded networks. 10th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems ATMOS, Liverpool, September 2010.
  • Lichtsignalanlagenoptimierung mit zyklisch expandierten Netzwerken. Forschungsseminar der FG Verkehrssystemplanung und Verkehrstelematik, Institut für Land- und Seeverkehr, TU Berlin, Juni 2010.
  • Capacitated Confluent Flows: Complexity and Algorithms. 7th International Conference on Algorithms and Complexity CIAC, Rom, Mai 2010.
  • Vorstellung eines Modells für die Lichtsignalanlagenoptimierung. ptv AG, Karlsruhe, Juli 2008.
  • Ebeneneinpassung in 3D- Tiefenbildern zur Bodendetektion bei mobilen Systemen. 10. Workshop 3D-Nordost, Berlin, Dezember 2007.
  • Nachweis von Kontaminationen mittels IR-Spektroskopie. Seminar Inspektion und Charakterisierung von Oberflächen mit Bildverarbeitung, Fraunhofer Allianz Vision, Braunschweig, Juli 2007.
  • Fast iterative plane detecting in range images and its applications for mobile systems. 8th Conference on Optical 3-D Measurement Techniques, Zürich, Juli 2007.
  • Evolutionäre Algorithmen für die Optimierung chemischer Prozesse. BASF AG, Ludwigshafen, Mai 2007.
  • 3D-Objekt- und Lageerkennung mit Laufzeitkameras. 9. Workshop 3D-Nordost, Berlin, Dezember 2006.