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Mathematical Optimization and Machine Learning for Efficient Urban Traffic

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German Success Stories in Industrial Mathematics

Part of the book series: Mathematics in Industry ((MATHINDUSTRY,volume 35))

Abstract

Traffic jams cause economical damage, which has been estimated between 10 and 100 billion Euros per year in Germany.

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References

  1. J. Bethge, B. Morabito, H. Rewald, A. Ahsan, S. Sorgatz, and R. Findeisen. Modelling human driving behavior for constrained model predictive control of mixed traffic at intersections. IFAC World Congress Berlin, pages 14557 – 14563, 2020.

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  4. D. D. Le, M. Merkert, S. Sorgatz, M. Hahn, and S. Sager. Autonomous traffic at intersections: an optimization-based analysis of possible time, energy, and CO2 savings. Optimization Online, 2020.

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  5. S. Sorgatz. Optimization of Vehicular Traffic at Traffic- Light Controlled Intersections. PhD thesis, Otto-von- Guericke-Universität Magdeburg, 2016.

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  6. Wirtschaftswoche. Autofahrer verlieren sehr viel Zeit im Stau. https://www.wiwo.de/politik/deutschland/ 154-stunden-pro-jahr-autofahrer-verlieren-sehr-viel-zeit-im-stau/23975904.html, February 12 2019.

  7. Wirtschaftswoche. Der Stillstand kostet Milliarden. https://www.wiwo.de/politik/deutschland/staukosten-der-stillstand-kostet-milliarden/23977168.html, February 12 2019.

  8. Y. Zheng, J. Wang, and K. Li. Smoothing traffic flow via control of autonomous vehicles. ar**v:1812.09544, 2018

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Author information

Authors and Affiliations

  1. Otto von Guericke University Magdeburg, Magdeburg, Germany

    Johanna Bethge, Rolf Findeisen, Do Duc Le, Maximilian Merkert, Sebastian Sager & Anton Savchenko

  2. Volkswagen Aktiengesellschaft, Otto von Guericke University Magdeburg, Magdeburg, Germany

    Hannes Rewald

Authors
  1. Johanna Bethge
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  2. Rolf Findeisen
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  3. Do Duc Le
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  4. Maximilian Merkert
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  5. Sebastian Sager
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  6. Anton Savchenko
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  7. Hannes Rewald
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Editor information

Editors and Affiliations

  1. Interdisciplinary Center for Scientific Computing IWR, Heidelberg University, Heidelberg, Germany

    Hans Georg Bock

  2. Fraunhofer Institute for Industrial Mathematics, Kaiserslautern, Germany

    Karl-Heinz Küfer

  3. Center for Industrial Mathematics ZeTeM, University of Bremen, Bremen, Germany

    Peter Maass

  4. Vice-President Office for Young Researchers and Diversity Management, Friedrich Schiller University Jena, Jena, Germany

    Anja Milde

  5. Department of Mathematics, Trier University, Trier, Germany

    Volker Schulz

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Bethge, J. et al. (2021). Mathematical Optimization and Machine Learning for Efficient Urban Traffic. In: Bock, H.G., Küfer, KH., Maass, P., Milde, A., Schulz, V. (eds) German Success Stories in Industrial Mathematics. Mathematics in Industry, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-81455-7_19

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