From Crowds to Crises
Fall 2014
This is the website of the course "From Crowds to Crises", Fall term 2014. 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 before the beginning of the course. 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.
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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.