From Crowds to Crises

Fall 2013

This is the website of the course "From Crowds to Crises", Fall term 2013. The lecture takes place every Monday from 10-12 AM in room IFW C 33. Lecture material for students can be found below; detailed information about the course may be found here.

Important: The material is intended for personal use in the context of this course only; redistributing, citing or publishing any of the material provided is strictly prohibited.

Course Material

The list of lectures will be published below shortly. Note that the course material will be provided as PDF files. Please right click on the link and choose "Save link as" to download the files.

ETH GESS PowerPoint Template

The ETH GESS template for presentations can be downloaded here.

Literature

Overview

• D. Helbing (2012) Social Self-Organization (Springer, Berlin).

• D. Helbing (2010) Quantitative Sociodynamics. Stochastic Methods and Models of Social Interaction Processes (Springer, Berlin).

• D. Helbing (2001) Traffic and related self-driven many-particle systems. Reviews of Modern Physics 73, 1067-1141.
• D. Helbing, A. Johansson (2010) Pedestrian, Crowd and Evacuation Dynamics. Encyclopedia of Complexity and Systems Science 16, 6476-6495.
• D. Helbing and K. Nagel (2004) The physics of traffic and regional development. Contemporary Physics 45(5), 405-426.

• D. Helbing (2004) Dynamic decision behavior and optimal guidance through information services: Models and experiments. Pages 47-95 in: M. Schreckenberg and R. Selten (eds.) Human Behaviour and Traffic Networks (Springer, Berlin).

• D. Helbing (2013): Globally networked risks and how to respond. Nature 497, 51–59.
• D. Helbing, H. Ammoser, and C. Kühnert (2005) Disasters as extreme events and the importance of network interactions for disaster response management. Pages 319-348. in: S. Albeverio, V. Jentsch, and H. Kantz (eds.) Extreme Events in Nature and Society (Springer, Berlin).
• 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).
  

Pedestrians and Crowds

• M. Moussaïd, D. Helbing, and G. Theraulaz (2011) How simple rules determine pedestrian behavior and crowd disasters. PNAS 108 (17) 6884-6888.
• D. Helbing, A. Johansson, J. Mathiesen, M.H. Jensen, and A. Hansen (2006) Analytical approach to continuous and intermittent bottleneck flows. Physical Review Letters 97, 168001.
• D. Helbing, R. Jiang, and M. Treiber (2005) Analytical investigation of oscillations in intersecting flows of pedestrian and vehicle traffic. Physical Review E 72,
  046130.
• D. Helbing and T. Vicsek (1999) Optimal self-organization. New Journal of Physics 1, 13.1-13.17.
• D. Helbing, F. Schweitzer, J. Keltsch, and P. Molnár (1997) Active walker model for the formation of human and animal trail systems. Physical Review E 56, 2527-2539.
• H. Löwen (2010) Particle-resolved instabilities in colloidal dispersions. Soft Matter 6, 3133-3142 as well as J. Dzubiella and H. Löwen (2002) Pattern formation in driven colloidal mixtures: tilted driving forces and re-entrant crystal freezing. J. Phys.: Condens. Matter 14, 9383-9395.
• K. Aoki (2000) Mathematical model of a saline oscillator. Physica D 147, 187-203 or N. Okamura and K. Yoshikawa (2000) Rhythm in a saline oscillator. Physical Review E 61, 2445-2452.

Vehicular Traffic

• D. Helbing (2009) Derivation of non-local macroscopic traffic equations and consistent traffic pressures from microscopic car-following models. European Physical Journal B 69(4), 539-548.
• D. Helbing and A. Johansson (2009) On the controversy around Daganzo's requiem for and Aw-Rascle's resurrection of second-order traffic flow models. European Physical Journal B 69(4), 549-562.
• D. Helbing and M. Moussaid (2009) Analytical calculation of critical perturbation amplitudes and critical densities by non-linear stability analysis of a simple traffic flow model. European Physical Journal B 69(4), 571-581.
• D. Helbing, M. Treiber, A. Kesting, and M. Schönhof (2009) Theoretical vs. empirical classification and prediction of congested traffic states. European Physical Journal B 69(4), 583-598.
• D. Helbing and B. Tilch (2009) A power law for the duration of high-flow states and its interpretation from a heterogeneous traffic flow perspective. European Physical Journal B 68(4), 577-586.
• M. Treiber and D. Helbing (2009) Hamilton-like statistics in onedimensional driven dissipative many-particle systems. European Physical Journal B 68(4), 607-618.
• D. Helbing (2009) Derivation of a fundamental diagram for urban traffic flow. European Physical Journal B 70(2), 229-241.
• 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.
• S. Lämmer and D. Helbing (2008) Self-control of traffic lights and vehicle flows in urban road networks. JSTAT P04019 as well as S. Lämmer and D. Helbing (2010) Self-stabilizing decentralized signal control of realistic, saturated network traffic, SFI Working Paper 2010-09-019, see http://www.santafe.edu/media/workingpapers/10-09-019.pdf
• M. Treiber, A. Kesting, and D. Helbing (2007) Influence of reaction times and anticipation on stability of vehicular traffic flow. Transportation Research Record 1999, 23-29.
• D. Helbing, J. Siegmeier, and S. Lämmer (2007) Self-organized network flows. Networks and Heterogeneous Media 2(2), 193-210.
• M. Krbalek and D. Helbing (2004) Determination of interaction potentials in freeway traffic from steady-state statistics. Physica A 333, 370-378.
• D. Helbing (2003) A section-based queueing-theoretical traffic model for congestion and travel time analysis in networks. Journal of Physics A: Mathematical and General 36, L593-L598.
• R. Kölbl and D. Helbing (2003) Energy laws in human travel behaviour. New Journal of Physics 5, 48.1-48.12.
• V. Shvetsov and D. Helbing (1999) Macroscopic dynamics of multilane traffic. Physical Review E 59, 6328-6339.
• M. Treiber, A. Hennecke, and D. Helbing (1999) Derivation, properties, and simulation of a gas-kinetic-based, non-local traffic model. Physical Review E 59, 239-253.
• D. Helbing and M. Schreckenberg (1999) Cellular automata simulating experimental properties of traffic flows. Physical Review E 59, R2505-R2508.
• D. Helbing, A. Hennecke, and M. Treiber (1999) Phase diagram of traffic states in the presence of inhomogeneities. Physical Review Letters 82, 4360-4363.
• D. Helbing (1996) Gas-kinetic derivation of Navier-Stokes-like traffic equations. Physical Review E 53, 2366-2381.

Game Theory

• T. Grund, C. Waloszek and D. Helbing (2013) How natural selection can create both self- and other-regarding preferences, and networked minds, Scientific Reports, 2, 1480.
• C. P. Roca and D. Helbing (2011) Emergence of social cohesion in a model society of greedy, mobile individuals. Proceedings of the National Academy of Sciences USA (PNAS) 108(28), 11370-11374.
• D. Helbing and A. Johansson (2010) Cooperation, norms, and revolutions: A unified game-theoretical approach. PLoS ONE 5(10), e12530 or D. Helbing and A. Johansson (2010) Evolutionary dynamics of populations with conflicting interactions: Classification and analytical treatment considering asymmetry and power. Physical Review E 81, 016112.
• D. Helbing, A. Szolnoki, M. Perc, and G. Szabó (2010) Evolutionary establishment of moral and double moral standards through spatial interactions. PLoS Computational Biology 6(4), e1000758.
• D. Helbing and S. Lozano (2010) Phase transitions to cooperation in the prisoner's dilemma. Physical Review E 81(5), 057102.
• D. Helbing and W. Yu (2009) The outbreak of cooperation among success-driven individuals under noisy conditions. Proceedings of the National Academy of Sciences USA (PNAS) 106(8), 3680-3685.
• D. Helbing and W. Yu (2008) Migration as a mechanism to promote cooperation. Advances in Complex Systems 11(4), 641-652.
• D. Helbing, M. Schönhof, H.-U. Stark, and J. A. Holyst (2005) How individuals learn to take turns: Emergence of alternating cooperation in a congestion game and the prisoner's dilemma. Advances in Complex Systems 8, 87-116.
• D. Helbing and T. Platkowski (2000) Self-organization in space and induced by fluctuations. International Journal of Chaos Theory and Applications 5(4), 47-62 as well as D. Helbing and T. Platkowski (2002) Drift- or fluctuation-induced ordering and self-organisation in driven many-particle systems. Europhysics Letters (EPL) 60, 227-233.
• D. Helbing, M. Treiber, and N. J. Saam (2005) Analytical investigation of innovation dynamics considering stochasticity in the evaluation of fitness. Physical Review E 71, 067101.
• D. Helbing (1994) A mathematical model for the behavior of individuals in a social field. Journal of Mathematical Sociology 19(3), 189-219 or D. Helbing (1993) Boltzmann-like and Boltzmann-Fokker-Planck equations as a foundation of behavioral models. Physica A 196, 546-573.
• D. Helbing (1996) A stochastic behavioral model and a `microscopic' foundation of evolutionary game theory. Theory and Decision 40, 149-179 or D. Helbing (1993) Stochastic and Boltzmann-like models for behavioral changes, and their relation to game theory. Physica A 193, 241-258.

Disaster Spreading and Recovery Management

• G. Tedeschi, A. Mazloumian, M. Gallegati and D. Helbing (2012) Bankruptcy cascades in interbank markets. PLoS ONE 7(12): e52749. doi:10.1371/journal.pone.0052749
• I. Simonsen, L. Buzna, K. Peters, S. Bornholdt and D. Helbing (2008) Transient dynamics increasing network vulnerability to cascading failures. Physical Review Letters 100, 218701.
• K. Peters, L. Buzna, and D. Helbing (2008) Modelling of cascading effects and efficient response to disaster spreading in complex networks. Int. J. Critical Infrastructures 4(1/2), 46-62 or L. Buzna, K. Peters, H. Ammoser, C. Kühnert, and D. Helbing (2007) Efficient response to cascading disaster spreading. Physical Review E 75, 056107.
• D. Helbing, U. Witt, S. Lämmer, and T. Brenner (2004) Network-induced oscillatory behavior in material flow networks and irregular business cycles. Physical Review E 70, 056118.
• D. Helbing, S. Lämmer, T. Seidel, P. Seba, and T. Platkowski (2004) Physics, stability and dynamics of supply networks. Physical Review E 70, 066116.
• D. Helbing and C. Kühnert (2003) Assessing interaction networks with applications to catastrophe dynamics and disaster management. Physica A 328, 584-606.
• A. Krawiecki, J. A. Holyst, and D. Helbing (2002) Volatility clustering and scaling for financial time series due to attractor bubbling. Physical Review Letters 89, 158701.