152
7 Digitally Assisted Self-Organization
12. D. Helbing and S. Lämmer (2006) Method for coordination of concurrent processes for control
of the transport of mobile units within a network, Patent WO/2006/122528.
13. C. Gershenson and D. Helbing (2015) When slower is faster, Complexity 21(2), 9–15, https://
onlinelibrary.wiley.com/doi/epdf/10.1002/cplx.21736.
14. D. Helbing and A. Mazloumian (2009) Operation regimes and slower-is-faster effect in the
control of traffic intersections. European Physical Journal B 70(2), 257–274.
15. D. Helbing (2013) Economics 2.0: The natural step towards a self-regulating, participatory
market society. Evol. Inst. Econ. Rev. 10, 3–41.
16. S. Lämmer and D. Helbing (2010) Self-stabilizing decentralized signal control of realistic,
saturated network traffic, Santa Fe Working Paper No. 10-09-019, see http://citeseerx.ist.psu.
edu/viewdoc/download?doi=10.1.1.477.4688&rep=rep1&type=pdf.
17. S. Lämmer, J. Krimmling, A. Hoppe (2009) Selbst-Steuerung von Lichtsignalanlagen -
Regelungstechnischer Ansatz und Simulation. Straßenverkehrstechnik 11, 714–721.
18. S. Lämmer (2015) Die Selbst-Steuerung im Praxistest, see http://stefanlaemmer.de/de/Publik
ationen/Laemmer2016.pdf.
19. T. Seidel, J. Hartwig, R. L. Sanders, and D. Helbing (2008) An agent-based approach to selforganized production. Pages 219–252 in: C. Blum and D. Merkle (eds.) Swarm Intelligence
Introduction and Applications (Springer, Berlin), see http://arxiv.org/abs/1012.4645.
20. D. Helbing (1998) Similarities between granular and traffic flow. Pages 547–552 in: H. J.
Herrmann, J.-P. Hovi, and S. Luding (eds.) Physics of Dry Granular Media (Springer, Berlin).
21. K. Peters, T. Seidel, S. Lämmer, and D. Helbing (2008) Logistics networks: Coping with nonlinearity and complexity. Pages 119–136 in: D. Helbing (ed.) Managing Complexity: Insights,
Concepts, Applications (Springer, Berlin).
22. D. Helbing, T. Seidel, S. Lämmer, and K. Peters (2006) Self-organization principles in supply
networks and production systems. Pages 535–558 in: B. K. Chakrabarti, A. Chakraborti, and A.
Chatterjee (eds.) Econophysics and Sociophysics - Trends and Perspectives (Wiley, Weinheim).
23. D. Helbing and S. Lämmer (2005) Supply and production networks: From the bullwhip effect
to business cycles. Page 33–66 in: D. Armbruster, A. S. Mikhailov, and K. Kaneko (eds.)
Networks of Interacting Machines: Production Organization in Complex Industrial Systems
and Biological Cells (World Scientific, Singapore).
24. D. Helbing, I. Farkas, D. Fasold, M. Treiber, and T. Vicsek (2002) Critical Discussion of “synchronized flow”, simulation of pedestrian evacuation, and optimization of production processes,
in M. Fukui, Y. Sugiyama, M. Schreckenberg, and D.E. Wolf (eds.) Traffic and Granular Flow
‘01 (Springer, Berlin), pp. 511–530.
25. R. Carvalho, L. Buzna, F. Bono, M. Masera, D. K. Arrowsmith, and D. Helbing (2014)
Resilience of natural gas networks during conflicts, crises and disruptions. PLOS ONE, 9(3),
e90265.
7 Digitally Assisted Self-Organization
12. D. Helbing and S. Lämmer (2006) Method for coordination of concurrent processes for control
of the transport of mobile units within a network, Patent WO/2006/122528.
13. C. Gershenson and D. Helbing (2015) When slower is faster, Complexity 21(2), 9–15, https://
onlinelibrary.wiley.com/doi/epdf/10.1002/cplx.21736.
14. D. Helbing and A. Mazloumian (2009) Operation regimes and slower-is-faster effect in the
control of traffic intersections. European Physical Journal B 70(2), 257–274.
15. D. Helbing (2013) Economics 2.0: The natural step towards a self-regulating, participatory
market society. Evol. Inst. Econ. Rev. 10, 3–41.
16. S. Lämmer and D. Helbing (2010) Self-stabilizing decentralized signal control of realistic,
saturated network traffic, Santa Fe Working Paper No. 10-09-019, see http://citeseerx.ist.psu.
edu/viewdoc/download?doi=10.1.1.477.4688&rep=rep1&type=pdf.
17. S. Lämmer, J. Krimmling, A. Hoppe (2009) Selbst-Steuerung von Lichtsignalanlagen -
Regelungstechnischer Ansatz und Simulation. Straßenverkehrstechnik 11, 714–721.
18. S. Lämmer (2015) Die Selbst-Steuerung im Praxistest, see http://stefanlaemmer.de/de/Publik
ationen/Laemmer2016.pdf.
19. T. Seidel, J. Hartwig, R. L. Sanders, and D. Helbing (2008) An agent-based approach to selforganized production. Pages 219–252 in: C. Blum and D. Merkle (eds.) Swarm Intelligence
Introduction and Applications (Springer, Berlin), see http://arxiv.org/abs/1012.4645.
20. D. Helbing (1998) Similarities between granular and traffic flow. Pages 547–552 in: H. J.
Herrmann, J.-P. Hovi, and S. Luding (eds.) Physics of Dry Granular Media (Springer, Berlin).
21. K. Peters, T. Seidel, S. Lämmer, and D. Helbing (2008) Logistics networks: Coping with nonlinearity and complexity. Pages 119–136 in: D. Helbing (ed.) Managing Complexity: Insights,
Concepts, Applications (Springer, Berlin).
22. D. Helbing, T. Seidel, S. Lämmer, and K. Peters (2006) Self-organization principles in supply
networks and production systems. Pages 535–558 in: B. K. Chakrabarti, A. Chakraborti, and A.
Chatterjee (eds.) Econophysics and Sociophysics - Trends and Perspectives (Wiley, Weinheim).
23. D. Helbing and S. Lämmer (2005) Supply and production networks: From the bullwhip effect
to business cycles. Page 33–66 in: D. Armbruster, A. S. Mikhailov, and K. Kaneko (eds.)
Networks of Interacting Machines: Production Organization in Complex Industrial Systems
and Biological Cells (World Scientific, Singapore).
24. D. Helbing, I. Farkas, D. Fasold, M. Treiber, and T. Vicsek (2002) Critical Discussion of “synchronized flow”, simulation of pedestrian evacuation, and optimization of production processes,
in M. Fukui, Y. Sugiyama, M. Schreckenberg, and D.E. Wolf (eds.) Traffic and Granular Flow
‘01 (Springer, Berlin), pp. 511–530.
25. R. Carvalho, L. Buzna, F. Bono, M. Masera, D. K. Arrowsmith, and D. Helbing (2014)
Resilience of natural gas networks during conflicts, crises and disruptions. PLOS ONE, 9(3),
e90265.