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Letters in Journals

• L. M. A. Bettencourt, J. Lobo, D. Helbing, C. Kühnert, and G. B. West (2007) Growth, innovation, scaling and the pace of life in cities. PNAS 2007 104:7301-7306.
• 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.
• A. Dussutour, V. Fourcassié, D. Helbing, and J.-L. Deneubourg (2004) Optimal traffic organization in ants under crowded conditions. Nature  428, 70-73.
• 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.
• I. Farkas, D. Helbing, and T. Vicsek (2002) Mexican waves in an excitable medium. Nature  419, 131-132.
• D. Helbing and T. Platkowski (2002) Drift- or fluctuation-induced ordering and self-organisation in driven many-particle systems. Europhysics Letters 60, 227-233.
• D. Helbing, I. Farkas, and T. Vicsek (2000) Simulating dynamical features of escape panic. Nature  407, 487-490.
• D. Helbing, I. Farkas, and T. Vicsek (2000) Freezing by heating in a driven mesoscopic system. Physical Review Letters  84, 1240-1243.
• B. A. Huberman and D. Helbing (1999) Economics-based optimization of unstable flows.  Europhysics Letters 47, 196-202.
• 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, D. Mukamel, and G. M. Schütz (1999) Global phase diagram of a one-dimensional driven lattice gas. Physical Review Letters 82, 10-13.
• D. Helbing and B. A. Huberman (1998) Coherent moving states in highway traffic. Nature 396, 738-740.
• D. Helbing and M. Treiber (1998) Jams, waves, and clusters. Science 282, 2001-2003.
• D. Helbing and M. Treiber (1998) Gas-kinetic-based traffic model explaining observed hysteretic phase transition. Physical Review Letters 81, 3042-3045.
• D. Helbing, J. Keltsch, and P. Molnár (1997) Modelling the evolution of human trail systems. Nature 388, 47-50.
• D. Helbing (1997) Empirical traffic data and their implications for traffic modeling. Physical Review E 55, R25-R28.
• D. Helbing and R. Molini (1995) Occurence probabilities of stochastic paths. Physics Letters A 212, 130-137.
• D. Helbing (1994) A contracted path integral solution of the discrete master equation. Physics Letters A 195, 128-134.

Reviews

• 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).
• D. Helbing (2005) Traffic flow. In: Alwyn Scott (ed.) Encyclopedia of Nonlinear Science (Fitzroy Dearborn, London).
• D. Helbing and K. Nagel (2004) The physics of traffic and regional development. Contemporary Physics  45(5), 405-426.
• D. Helbing (2004) Modeling and optimization of production processes: Lessons from traffic dynamics. Pages 85-105 in: G. Radons and R. Neugebauer (eds.) Nonlinear Dynamics of Production Systems  (Wiley-VCH, Weinheim).
• 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 and K. Nagel (2003) Verkehrsdynamik und urbane Systeme. Physik Journal 2(5), 35-41.
• D. Helbing, I. J. Farkás, P. Molnár, and T. Vicsek (2002) Simulation of pedestrian crowds in normal and evacuation situations. Pages 21-58 in: M. Schreckenberg and S. D. Sharma (eds.) Pedestrian and Evacuation Dynamics (Springer, Berlin).
• D. Helbing, A. Hennecke, V. Shvetsov, and M. Treiber (2002) Micro- and macro-simulation of freeway traffic. Mathematical and Computer Modelling 35(5/6), 517-547.
• D. Helbing (2001) Traffic and related self-driven many-particle systems. Reviews of Modern Physics 73, 1067-1141.
• D. Helbing, P. Molnár, I. Farkas, and K. Bolay (2001) Self-organizing pedestrian movement. Environment and Planning B 28, 361-383.
• D. Helbing (2001) Die wundervolle Welt aktiver Vielteilchensysteme. Physikalische Blätter 57, 27-33.
• D. Helbing, A. Hennecke, V. Shvetsov, and M. Treiber (2001) MASTER: Macroscopic traffic simulation based on a gas-kinetic, non-local traffic model. Transportation Research B 35, 183-211.

Articles in Journals

• L. Buzna, K. Peters, H. Ammoser, C. Kühnert and D. Helbing (2007) Efficient response to cascading disaster spreading. Physical Review E 75, 056107.
• M. Schönhof and D. Helbing (2007) Empirical Features of Congested Traffic State and Their Implications for Traffic Modeling. Transportation Science 41(2), 135-166.
  
• D. Helbing, J. Siegmeier and S. Lämmer (2007) Self-organized network flows. Networks and Heterogeneous Media 2(2), 193-210.
  
• D. Helbing, A. Johansson and H. Z. Al-Abideen (2007) The Dynamics of Crowd Disasters: An Empirical Study. Physical Review E 75, 046109.
• R. Jiang, D. Helbing, P. K. Shukla and Q.-S. Wu (2006) Inefficient emergent oscillations in intersecting driven many-particle flows. Physica A 368, 567-574.
• K. Peters, A. Johansson, A. Dussutour and D. Helbing (2006) Analytical and numerical investigation of ant behaviour under crowded conditions. Accepted for publication in: Advances in Complex Systems
• D. Helbing, H. Ammoser, and C. Kühnert (2006) Information flows in hierarchical networks and the capability of organizations to successfully respond to failures, crises, and disasters. Physica A 363, 141-150.
• D. Helbing, M. Treiber, and A. Kesting (2006) Understanding interarrival and interdeparture time statistics from interactions in queuing systems. Physica A 363, 62-72.
• D. Helbing, D. Armbruster, A. S. Mikhailov, and E. Lefeber (2006) Information and material flows in complex networks. Physica A 363, xi-xvi.
• L. Buzna, K. Peters, and D. Helbing (2006) Modelling the dynamics of disaster spreading in networks. Physica A 363, 132-140.
• C. Kühnert, D. Helbing, and G. B. West (2006) Scaling laws in urban supply networks. Physica A 363, 96-103.
• M. Schönhof, A. Kesting, M. Treiber, and D. Helbing (2006) Coupled vehicle and information flows: Message transport on a dynamic vehicle network. Physica A 363, 73-81.
• S. Lämmer, H. Kori, K. Peters, and D. Helbing (2006) Decentralised control of material or traffic flows in networks using phase-synchronisation. Physica A 363, 39-47.
• S. Lämmer, B. Gehlsen, and D. Helbing (2006) Scaling laws in the spatial structure of urban road networks. Physica A 363, 89-95.
• M. Treiber, A. Kesting, and D. Helbing (2006) Understanding widely scattered traffic flows, the capacity drop and platoons as effects of variance-driven time gaps. Physical Review E 74, 016123.
• R. V. Lindgren, R. L. Bertini, D. Helbing, and M. Schönhof (2006) Toward demonstrating the predictability of bottleneck activation on a German autobahn. In: Transportation Research Record: Journal of the Transportation Research Board, 1965, 12-22.
• M. Treiber, A. Kesting, and D. Helbing (2006) Delays, inaccuracies and anticipation in microscopic traffic models. Physica A 360, 71-88.
• K. Peters, A. Johansson, and D. Helbing (2005) Swarm intelligence beyond stigmergy: Traffic optimization in ants. Künstliche Intelligenz 4, 11-16.
• 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, 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, 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, L. Buzna, A. Johansson, and T. Werner (2005) Self-organized pedestrian crowd dynamics: Experiments, simulations, and design solutions. Transportation Science  39(1), 1-24.
• 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, 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.
• M. Schönhof and D. Helbing (2004) Empirical features of congested traffic states and their implications for traffic modeling. Accepted for publication in: Transportation Science
• M. Krbalek und D. Helbing (2004) Determination of interaction potentials in freeway traffic from steady-state statistics. Physica A 333, 370-378.
• D. Helbing (2004) Collective phenomena and states in traffic and self-driven many-particle systems. Computational Materials Science 30(1/2), 180-187.
• M. Isobe, D. Helbing, and T. Nagatani (2004) Many-particle simulation of the evacuation process from a room without visibility. Physical Review E 69, 066132.
• T. Nagatani and D. Helbing (2004) Stability analysis and stabilization strategies for linear supply chains. Physica A 335, 644-660.
• 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.
• D. Helbing (2003) Modelling supply networks and business cycles as unstable transport phenomena. New Journal of Physics 5, 90.1-90.28.
• R. Kölbl and D. Helbing (2003) Energy laws in human travel behaviour. New Journal of Physics 5, 48.1-48.12.
• K. Nishinari, M. Treiber, and D. Helbing (2003) Interpreting the wide scattering of synchronized traffic data by time gap statistics. Physical Review E 68, 067101.
• I. Farkas, D. Helbing, and T. Vicsek (2003) Human waves in stadiums. Physica A 330, 18-24.
• M. Treiber and D. Helbing (2003) Memory effects in microscopic traffic models and wide scattering in flow-density data, Physical Review E 68, 046119.
• D. Helbing and C. Kühnert (2003) Assessing interaction networks with applications to catastrophe dynamics and disaster management. Physica A 328, 584-606.
• D. Helbing (7-8/2003) Mehr Sicherheit für weniger Geld? Protector, 12-13.
• I. Farkas, T. Vicsek, and D. Helbing, (July/2003) Mexikói hullámok gerjeszthetö közegben. Fizikai Szemle, 246-247.
• D. Helbing, M. Isobe, T. Nagatani, and K. Takimoto (2003) Lattice gas simulation of experimentally studied evacuation dynamics. Physical Review E 67, 067101.
• T. Grigat and D. Helbing (1/2003) Many-particle simulation of panicking pedestrians with implications for hospital evacuation. Journal für Anästhesie und Intensivbehandlung, 93-97.
• D. Helbing, M. Schönhof, and D. Kern (2002) Volatile decision dynamics: Experiments, stochastic description, intermittency control, and traffic optimization. New Journal of Physics 4, 33.1-33.16.
• D. Helbing and M. Treiber (2002) Critical discussion of "synchronized flow". Cooper@tive Tr@nsport@tion Dyn@mics 1 2.1-2.24.
• M. Treiber and D. Helbing (2002) Reconstructing the spatio-temporal traffic dynamics from stationary detector data. Cooper@tive Tr@nsport@tion Dyn@mics 1 3.1-3.24.
• D. Helbing, D. Batic, M. Schönhof, and M. Treiber (2002) Modelling widely scattered states in 'synchronized' traffic flow and possible relevance for stock market dynamics. Physica A 303, 251-260.
• D. Helbing and K. Janschek (2001) Mit Methode raus aus dem Stau. Automatisierungstechnik 49, 475-477.
• M. Treiber and D. Helbing (2001) Microsimulations of freeway traffic including control measures. Automatisierungstechnik 49, 478-484.
• D. Helbing, I. Farkas, and T. Vicsek (October/2000) A menekülési pánik dinamikai tulajdonságainak szimulációja. Fizikai Szemle 50, 329-332.
• D. Helbing (July/2000) Aktív sokrészecske-rendszerek csodavilága. Fizikai Szemle 50, 217-223.
• D. Helbing and D. Kern (2000) Non-equilibrium price theories. Physica A 287, 259-268.
• 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.
• E. Ben-Jacob, I. Cohen, I. Golding, D. L. Gutnick, M. Tcherpakov, D. Helbing, and I. G. Ron (2000) Bacterial cooperative organization under antibiotic stress. Physica A 282, 247-282.
• M. Treiber, A. Hennecke, and D. Helbing (2000) Congested traffic states in empirical observations and microscopic simulations . Physical Review E 62, 1805-1824.
• M. Treiber and D. Helbing (1999) Macroscopic simulation of widely scattered synchronized traffic states. Journal of Physics A: Mathematical and General 32, L17-L23.
• D. Helbing and T. Vicsek (1999) Optimal self-organization. New Journal of Physics 1, 13.1-13.17.
• T. Vicsek, A. Czirók, I. J. Farkas, and D. Helbing (1999) Application of statistical mechanics to collective motion in biology. Physica A 274, 182-189.
• D. Helbing and M. Treiber (Sep./Oct. 1999) Numerical simulation of macroscopic traffic equations. Computing in Science & Engineering 1(5), 89-99.
• V. Shvetsov and D. Helbing (1999) Macroscopic dynamics of multi-lane 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 B. Tilch (1998) Generalized force model of traffic dynamics. Physical Review E 58, 133-138.
• D. Helbing and M. Treiber (1998) Enskog equations for traffic flow evaluated up to Navier-Stokes order. Granular Matter 1, 21-31.
• D. Helbing (1998) Trampelpfadentstehung. Naturwissenschaftliche Rundschau 51(3), 115-116.
• D. Helbing (1998) Die Physik auf neuen Pfaden. Physikalische Blätter 54(1), 45-47.
• D. Helbing (1998) Structure and instability of high-density equations for traffic flow. Physical Review E 57, 6176-6179.
• D. Helbing (September 1997) Wenn Physiker neue Wege gehen. Physik in unserer Zeit 5, 223-224.
• 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.
• D. Helbing and A. Greiner (1997) Modeling and simulation of multilane traffic flow. Physical Review E 55, 5498-5507.
• D. Helbing (1997) Fundamentals of traffic flow. Physical Review E 55, 3735-3738.
• D. Helbing (1997) Modeling multi-lane traffic flow with queuing effects. Physica A 242, 175-194.
• D. Helbing (1996) Derivation and empirical validation of a refined traffic flow model. Physica A 233, 253-282.
• D. Helbing (1996) A stochastic behavioral model and a `microscopic' foundation of evolutionary game theory. Theory and Decision 40, 149-179.
• D. Helbing (1996) Gas-kinetic derivation of Navier-Stokes-like traffic equations. Physical Review E 53, 2366-2381.
• D. Helbing (1995) High-fidelity macroscopic traffic equations. Physica A 219, 391-407.
• D. Helbing (1995) Theoretical foundation of macroscopic traffic models. Physica A 219, 375-390.
• D. Helbing and P. Molnár (1995) Social force model for pedestrian dynamics. Physical Review E 51, 4282-4286.
• D. Helbing (1995) Improved fluid-dynamic model for vehicular traffic. Physical Review E 51, 3164-3169.
• D. Helbing and W. Weidlich (1995) Quantitative Soziodynamik: Gegenstand, Methodik, Ergebnisse und Perspektiven. Kölner Zeitschrift für Soziologie und Sozialpsychologie 47 (1), 114-140.
• D. Helbing (1994) A mathematical model for the behavior of individuals in a social field. Journal of Mathematical Sociology 19 (3), 189-219.
• D. Helbing, M. Hilliges, P. Molnár, F. Schweitzer and A. Wunderlin (1994) Strukturbildung dynamischer Systeme. ARCH+ 121, 69-75.
• D. Helbing (1994) A mathematical model for behavioral changes by pair interactions and its relation to game theory. Angewandte Sozialforschung 18 (3), 117-132.
• D. Helbing (1993) Boltzmann-like and Boltzmann-Fokker-Planck equations as a foundation of behavioral models. Physica A 196, 546-573.
• D. Helbing (1993) Stochastic and Boltzmann-like models for behavioral changes, and their relation to game theory. Physica A 193, 241-258.
• D. Helbing (1992) A fluid-dynamic model for the movement of pedestrians. Complex Systems 6, 391-415.
• D. Helbing (1992) A mathematical model for attitude formation by pair interactions. Behavioral Science 37, 190-214.
• D. Helbing (1992) Interrelations between stochastic equations for systems with pair interactions. Physica A 181, 29-52.
• D. Helbing (1991) A mathematical model for the behavior of pedestrians. Behavioral Science 36, 298-310.

Books, Theses, Proceedings, and Special Issues

• Helbing, ed. (2006) Proceedings of the workshop "Potentials of complexity science for business, governments and the media" (Collegium Budapest, August 2006)
• D. Helbing, D. Armbruster, A. Mikhailov, and E. Lefeber, eds. (2006) Information and Material Flows in Complex Networks. Physica A 363(1), 1-160.
• G.-A. Ahrens, D. Helbing, W. Fengler, H.-C. Reuss, J. Schütte, and H. Strobel, eds. (2003) Mobilität und Verkehrsmanagement in einer vernetzten Welt / Mobility and Traffic Management in a Networked World (CDROM, Faculty of Traffic Sciences "Friedrich List", Dresden University of Technology, Dresden).
• D. Helbing and K. Janschek, eds. (2001) Methoden der Telematik für den Straßenverkehr. Automatisierungstechnik 49, 473-520.
• W. Fengler, D. Helbing, S. Liebig, H.-C. Reuss, J. Schütte, H. Strobel, and H. Zellbeck, eds. (2001) Transport und Mobilität in der Informationsgesellschaft / Transportation and Mobility in Information Society (CDROM, Faculty of Traffic Sciences "Friedrich List", Dresden University of Technology, Dresden).
• F. Schweitzer and D. Helbing, eds. (2001) Complex Dynamics in Economics. Advances in Complex Systems 4(1), 1-176.
• F. Schweitzer and D. Helbing, eds. (2000) Economic Dynamics from the Physics Point of View. Physica A 287(3/4), 339-691.
  Can physicists contribute to the field of economics? In fact, the recent progress in the understanding of non-equilibrium phenomena in complex systems has initiated a lot of activities in analyzing, modelling and simulating `living' systems with methods from statistical physics. The joint efforts of many research groups spread over the world eventually lead to the establishment of econophysics, a young and fast growing field, the potential importance of which can be hardly overestimated.
  This special issue of Physica A presents selected contributions to the international workshop on Economic Dynamics from the Physics Point of View and focusses on two main problems: (i) the analysis of economic time series and other data with the aim of determining scaling laws and correlations, (ii) the investigation of microscopic models which mimic economic systems based on non-linear interactions of a large number of elements. Further topics were the statistical modeling of decision processes, the emergence of collective dynamics and chaos in socio-economic systems, as well as possibilities to control them.
• D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf, eds. (2000) Granular and Traffic Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
  ``Are there common phenomena and laws in the dynamic behavior of granular materials, traffic, and socio-economic systems?'' The answers given at the international workshop Traffic and Granular Flow '99 are presented in this volume. From a physical standpoint, all these systems can be treated as (self-)driven many-particle systems with strong fluctuations, showing multistability, phase transitions, non-linear waves, etc. The great interest in these systems is due to several unexpected new discoveries and their practical relevance for solving some fundamental problems of today's societies. This includes intelligent measures for traffic flow optimization and methods from ``econophysics'' for stabilizing (stock) markets.
• V. Claus, D. Helbing, and H. J. Herrmann, eds. (1999) Proceedings of the Workshop "Verkehrsplanung und -simulation" (Informatik Verbund Stuttgart, University of Stuttgart).
• D. Helbing (1997) Verkehrsdynamik. Neue physikalische Modellierungskonzepte (Springer, Berlin).
  Verkehrsdynamik präsentiert die neuesten Entwicklungen im Bereich der Modellierung und Simulation des Fußgänger- und Autobahnverkehrs, basierend auf einer Synthese physikalischer und sozialwissenschaftlicher Konzepte. Im Zentrum des Interesses steht der Vergleich der Modelle mit empirischen Daten sowie das Verständnis von `Staus aus dem Nichts' und anderen faszinierenden kollektiven Bewegungsmustern, die durch Selbstorganisation entstehen.
  Verkehrsdynamik diskutiert neuartige Methoden, wie Selbstorganisationsphänomene zur Optimierung des Verkehrsflusses ausgenutzt werden können und wendet sich an Wissenschaftler, Städte- und Verkehrsplaner. Die behandelte Thematik genießt wegen ihrer aktuellen gesellschaftlichen und politischen Relevanz in jüngster Vergangenheit eine außerordentlich große Aufmerksamkeit in den Medien.
• D. Helbing (1996) Stochastische Methoden, nichtlineare Dynamik und quantitative Modelle sozialer Prozesse, 2nd enlarged edition (Shaker, Aachen).
• D. Helbing (1995) Quantitative Sociodynamics. Stochastic Methods and Models of Social Interaction Processes (Kluwer Academic, Dordrecht).
  Quantitative Sociodynamics shows how the general concepts for modelling complex systems can be applied to the description of social processes. It provides a unified and comprehensive overview of various stochastic methods, their interrelations, and properties. In addition it introduces the most important concepts from non-linear dynamics (synergetics, chaos theory). A connection of these methods with decision theoretical concepts leads to a fundamental dynamic model for behavioural changes which includes many established models from the social sciences as special cases. Moreover, it implies numerous new results which are illustrated by computer simulations.
• D. Helbing (1992) Stochastische Methoden, nichtlineare Dynamik und quantitative Modelle sozialer Prozesse. (PhD thesis, University of Stuttgart. Published by Shaker, Aachen, 1993).
• D. Helbing (1990) Physikalische Modellierung des dynamischen Verhaltens von Fußgängern (Master's thesis, Georg-August University Göttingen).

Invited Contributions to Books

• D. Helbing (2007) Self-organization and optimization of pedestrian and vehicle traffic in urban environments. In: Albeverio, S., Andrey, D., Giordano, P., Vancheri A. (eds.)  The Dynamics of Complex Urban Systems. An Interdisciplinary Approach (Springer, Berlin Heidelberg New York)
• A. Johansson and D. Helbing (2007)  Pedestrian flow optimization with a genetic algorithm based in Boolean grids. Pages 237-272 in: N. Waldau, P. Gattermann, H. Knoflacher and M. Schreckenberg (eds.) Pedestrian and Evacuation Dynamics 2005 (Springer, Berlin)
• 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, A. Chatterjee (eds.) Econophysics and Sociophysics - Trends and Perspectives (Wiley, Weinheim)
• A. Johansson and D. Helbing (2006) Crowd Dynamics. Pages 449-471 in: B.K.Chakrabarti, A.Chakraborti, A. Chatterjee (eds.)  Econophysics and Sociophysics - Trends and Perspectives (Wiley, Weinheim)
  
• D. Helbing and A. Johansson (2005) Sicherheit in Fußgängermengen bei Massenveranstaltungen. Pages 87-130 in: C.-S. Grommek (ed.) Rothenburger Beiträge. Polizeiwissenschaftliche Schriftenreihe der Fachhochschule für Polizei Sachsen, Band 23. (Rothenburg/Oberlausitz).
• D. Helbing and A. Johansson (2005) Grundsätzliche Hinweise zur Theorie und Konzeption von Evakuierung und Räumung: Sicherheit in Fußgängermengen bei Massenveranstaltungen. Pages 1-42 in: VdS-Fachtagung. Evakuierung und Räumung von Veranstaltungen (VdS, Köln).
• M. Treiber, A. Kesting, and D. Helbing (2005) Verkehr verstehen und beherrschen. Pages 76-85 in: U. Stopka, W. Pällmann (Hrsg.) Für eine neue deutsche Verkehrspolitik (Deutscher Verkehrs-Verlag, Hamburg).
• D. Helbing, S. Lämmer, and J.-P. Lebacque (2005) Self-organized control of irregular or perturbed network traffic. Pages 239-274 in: C. Deissenberg and R. F. Hartl (eds.) Optimal Control and Dynamic Games (Springer, Dordrecht).
• 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.) The Unimaginable and Unpredictable: Extreme Events in Nature and Society (Springer, Berlin).
• D. Helbing (2005) Production, supply, and traffic systems: A unified description. Pages 173-188 in: S. P. Hoogendoorn, S. Luding, P. H. L. Bovy, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '03 (Springer, Berlin).
• D. Helbing (2004) Sicherheit in Fußgängermengen bei Massenveranstaltungen. Pages 253-288 in: W. Freyer and S. Groß (eds.) Sicherheit in Tourismus und Verkehr (FIT, Dresden).
• M. Treiber and D. Helbing (2003) An adaptive smoothing method for traffic state identification from incomplete informatio. Pages 343-360 in: H. Emmerich, B. Nestler, and M. Schreckenberg (eds.) Interface and Transport Dynamics. Computational Modelling (Springer, Berlin).
• D. Helbing, I. J. Farkás, D. Fasold, M. Treiber, and T. Vicsek (2003) Critical discussion of "synchronized flow", pedestrian evacuation, and optimal production. Pages 511-530 in: M. Fukui, Y. Sugiyama, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '01 (Springer, Berlin).
• D. Helbing, I. Farkas, P. Molnar, and T. Vicsek (2002) Simulation von Fußgängermengen in normalen Situationen und im Evakuierungsfall. Pages 205-248 in: W. Freyer, and S. Groß (eds.) Tourismus und Sport-Events (FIT-Verlag, Dresden).
• D. Helbing, I. J. Farkás, and T. Vicsek (2002) Crowd disasters and simulation of panic situations. Pages 334-354 in: A. Bunde, J. Kropp, and H.-J. Schellnhuber (eds.) The Science of Disaster. Climate Disruptions, Heart Attacks, and Market Crashes (Springer, Berlin).
• D. Helbing (2002) Order and disorder in traffic and self-driven many-particle systems. Pages 239-250 in: M. L. Spano (ed.) Proceedings of the 6th Experimental Chaos Conference (American Institute of Physics, Melville, NY).
• D. Helbing (2001) The wonderful world of active many-particle systems. Pages 357-368 in: B. Kramer (ed.) Advances in Solid State Physics 41 (Springer, Berlin).
• D. Helbing, A. Hennecke, V. Shvetsov, and M. Treiber (2001) MASTER: Simulation macroscopique du trafic à partir d'un modèle de trafic non local fondé sur la théorie cinématique des gaz. Modélisation du Trafic, Actes Nº 74 edited by M. Aron, F. Boillot, and J.-P. Lebacque (Actes de groupe de travail 1997, INRETS, Arcueil Cedex),
• D. Helbing and P. Molnár (2001) Modélisation et simulation des flux de piétons. Modélisation du Trafic, Actes Nº 74 edited by M. Aron, F. Boillot, and J.-P. Lebacque (Actes de groupe de travail 1997, INRETS, Arcueil Cedex).
• D. Helbing and P. Molnár (2001) Correlated motion of pedestrians. Pages 210-242 in: T. Vicsek (ed.) Fluctuations and Scaling in Biology (Oxford University Press, Oxford).
• D. Helbing (1998) Pedestrian dynamics and trail formation. Pages 21-36 in: M. Schreckenberg and D. E. Wolf (eds.) Traffic and Granular Flow '97 (Springer, Singapore).
• D. Helbing (1998) From microscopic to macroscopic traffic models. Pages 122-139 in: J. Parisi, S. C. Müller, and W. Zimmermann (eds.) A Perspective Look at Nonlinear Media. From Physics to Biology and Social Sciences. (Springer, Berlin).
• W. Weidlich and D. Helbing (1998) A mathematical model of group dynamics including the effects of solidarity. Pages 139-196 in: P. Doreian and T. Fararo (eds.) The Problem of Solidarity: Theories and Models (Gordon and Breach, London).
• D. Helbing (1998) Microscopic foundation of stochastic game dynamical equations. Pages 211-224 in: W. Leinfellner and E. Köhler (eds.) Game Theory, Experience, Rationality (Kluwer Academic, Dordrecht).
• D. Helbing (1996) Traffic modeling by means of physical concepts. Pages 87-104 in: D. E. Wolf, M. Schreckenberg, and A. Bachem (eds.) Traffic and Granular Flow (World Scientific, Singapore).
• D. Helbing (1996) Survival analysis, master equation, efficient simulation of path-related quantities, and hidden state concept of transitions (refereed). Pages 179-207 in: K. G. Troitzsch, U. Mueller, G. N. Gilbert, and J. E. Doran (eds.) Social Science Microsimulation (Springer, Berlin).

Contributions to Conference Proceedings

• H.-U. Stark, D. Helbing, M. Schönhof, and J.A. Hołyst (2007) Alternating cooperation strategies in a Route Choice Game: Theory, experiments, and effects of a learning scenario . In: A. Innocenti and P. Sbriglia (eds.). Games, Rationality, and Behaviour. Palgrave Macmillan, (in press).
• A. Kesting, M. Treiber, M. Schönhof, and D. Helbing (2007) Extending adaptive cruise control (ACC) towards adaptive driving strategies, Presentation at the Annual Meeting of TRB, January 21-25, 2007, Washington, DC.
• A. Kesting, M. Treiber, and D. Helbing (2007) MOBIL - A general lane-changing model for car-following models, Presentation at the Annual Meeting of TRB, January 21-25, 2007, Washington, DC.
• M. Schönhof, M. Treiber, A. Kesting, and D. Helbing (2007) Autonomous detection and anticipation of jam-fronts from messages propagated by inter-vehicle communication, Presentation at the Annual Meeting of TRB, January 21-25, 2007, Washington, DC.
• M. Treiber, A. Kesting, and D. Helbing (2007) Influence of reaction times and anticipation on the stability of vehicular traffic flow, Presentation at the Annual Meeting of TRB, January 21-25, 2007, Washington, DC.
• D. Helbing, A. Johansson and L. Buzna (2006) New Design Solutions for Pedestrian Facilities Based on Recent Empirical Results and Computer Simulations. Pages 67-88 in:M. Aron, F. Boillot and J.-P. Lebacque (eds.) Modélisation Du Traffic - Actes du groupe de travail 2003,  Actes No. 104
• D. Helbing, U. Witt, S. Lämmer and T. Brenner (2006) Network-induced business cycles and oscillatory behaviour in supply networks. Pages 57-66 in: M. Aron, F. Boillot and J.-P. Lebacque (eds.) Modélisation Du Traffic - Actes du groupe de travail 2003,  Actes No. 104
• R. Sipahi, S. Lämmer, S. Niculescu, and D. Helbing (2006) On Stability Analysis and Parametric Design of Supply Networks under the Presence of Transportation Delays. ASME'06 International Mechanical Engineering Congress and Exposition (Chicago).
• A. Kesting, M. Treiber, S. Lämmer, M. Schönhof, and D. Helbing (2006) Decentralized approaches to adaptive traffic control and an extended level of service concept. Contribution to the 17th International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering, IKM 2006 (Weimar)
• K. Peters, L. Buzna, and D. Helbing (2006) Mathematical modelling of cascading failures and disaster spreading in complex networks. Pages 263-275 in: C. Balducelli and S. Bologna (eds.) CNIP'06 Workshop on Complex Network & Infrastructure Protection (ENEA, Rome).
• R. Jiang and D. Helbing (2006) Avoiding inefficient oscillations in intersecting vehicle and pedestrian flows by a speed limit. Pages: 323-328 in: Traffic and Granular Flow '05 (Springer, Berlin), in print.
• D. Helbing, A. Johansson (2005) Grundsätzliche Hinweise zur Theorie und Konzeption von Evakuierung und Räumung: Sicherheit in Fussgängermengen bei Massenveranstaltungen. Pages 1-42 in: VdS-Fachtagung: Evakuierung und Räumung von Veranstaltungen (VdS Köln).
• A. Kesting, M. Treiber, M. Schönhof, F. Kranke and D. Helbing (2005) 'Jam-avoiding' adaptive cruise control (ACC) and its impact on traffic dynamics. Pages: 633-643 in: Traffic and Granular Flow '05 (Springer, Berlin).
• M. Schönhof, A. Kesting, M. Treiber and D. Helbing (2005) Inter-vehicle Communication on highways: Statistical properties of information propagation. Pages: 645-655 in: Traffic and Granular Flow '05 (Springer, Berlin).
• M. Treiber, A. Kesting and D. Helbing (2005) Variance-driven traffic dynamics and statistical aspects of single-vehicle data. Pages: 551-557 in: Traffic and Granular Flow '05 (Springer, Berlin).
• D. Helbing, M. Schönhof, H.-U. Stark, and J. A. Holyst (2005) Transition to coherent oscillatory behaviour in a route choice game. In: Proceeding of the ECCS'05 Conference.
• A. Johansson and D. Helbing (2005) Pedestrian Flow Optimization with a Genetic Algorithm Based on Boolean Grids. Pages: 262-272 in: Pedestrian and Evacuation Dynamics '05 (Springer, Berlin).
• D. Helbing, A. Johansson, and L. Buzna (2005) Pedestrian dynamics and evacuation: Empirical results and design solutions. In: H. S. Mahmassani (ed.) Flow, Dynamics and Human Interaction. Proceedings of the 16th International Symposium on Transportation and Traffic Theory (Elsevier Science, Amsterdam).
• D. Helbing (2004) Network-induced oscillatory behaviour of macroeconomic output flows. In: R. Leombruni and M. Richiardi (eds.) Industry and Labor Dynamics: The Agent-Based Computational Economics Approach. Proceedings of the Wild@Ace 2003 Workshop (World Scientific, Singapore).
• M. Treiber and D. Helbing (2004) Visualisierung der fahrzeugbezogenen und verkehrlichen Dynamik mit und ohne Beeinflussungs-Systemen. Proceedings of the 15th Conference on Simulation and Visualization (Magdeburg).
• D. Helbing (2003) Modeling and optimization of production processes: Lessons from traffic dynamics Pages 1-20. In: G. Radons and R. Neugebauer (eds.) Investigations of Non-Linear Dynamic Effects in Production Systems (Verlag Wissenschaftliche Scripten, Zwickau).
• T. Werner and D. Helbing (2003) The social force pedestrian model applied to real life scenarios. Pages 17-26 in: E. R. Galea (ed.) Pedestrian and Evacuation Dynamics 2003 (University of Greenwich, United Kingdom),
• M. Treiber and D. Helbing (2003) Realistische Mikrosimulation von Straßenverkehr mit einem einfachen Modell. Pages 514-520 in: D. Tavangarian and R. Grützner (eds.) 16. Symposium "Simulationstechnik'' ASIM 2002, Tagungsband (Rostock).
• D. Helbing (2003) Implications of panic research: The hospital as self-organized multi-agent system (Proceedings of ``Symposium Krankenhausevakuierung'', Dresden).
• D. Helbing (2002) Modelling, simulation, and guidance of dynamic decision behavior. Pages 1-14 in: A. Namatame, D. Green, Y. Aruka, and H. Sato (eds.) Complex Systems 2002 (Chuo University, Tokyo, Japan).
• D. Helbing, B. A. Huberman, and S. M. Maurer (2000) Optimizing traffic in virtual and real space. Pages 193-204 in: D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
• T. Vicsek, A. Czirók, and D. Helbing (2000) Collective motion and optimal self-organization in self-driven systems. Pages 147-160 in: D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
• D. Helbing, I.J. Farkas, and T. Vicsek (2000) Freezing by heating in a pedestrian model. Pages 245-250 in: D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
• M. Treiber, A. Hennecke, and D. Helbing (2000) Microscopic simulation of congested traffic. Pages 365-376 in: D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
• B. Tilch and D. Helbing (2000) Evaluation of single vehicle data in dependence of the vehicle-type, lane, and site. Pages 333-338 in: D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
• A. Hennecke, M. Treiber, and D. Helbing (2000) Macroscopic simulation of open systems and micro-macro link. Pages 383-388 in: D. Helbing, H. J. Herrmann, M. Schreckenberg, and D. E. Wolf (eds.) Traffic and Granular Flow '99: Social, Traffic, and Granular Dynamics (Springer, Berlin).
• T. Vicsek, D. Helbing, and A. Czirók (2000) Transitions and optimal self-organisation in the collective motion in driven systems. Pages 273-290 in: S. Kim, K. J. Lee, and W. Sung (eds.) Stochastic Dynamics and Pattern Formation in Biological and Complex Systems (American Institute of Physics, Melville, NY).
• R. Sollacher, B. S. Kerner, P. Konhäuser, H. Rehborn, R. Kühne, M. Schreckenberg, and D. Helbing (1999) SANDY - Nichtlineare Dynamik im Straßenverkehr. Technische Anwendungen von Erkenntnissen der Nichtlinearen Dynamik (VDI - Technologiezentrum Physikalische Technologien, Düsseldorf).
• D. Helbing (1999) New simulation models for traffic optimization. In: V. Claus, D. Helbing, and H. J. Herrmann (eds.) Proceedings of the Workshop "Verkehrsplanung und -simulation" (Informatik Verbund Stuttgart, University of Stuttgart).
• 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 (Kluwer Academic, Dordrecht).
• D. Helbing (1997) Traffic data and their implications for consistent traffic flow modeling. Pages 809-814 in: M. Papageorgiou and A. Pouliezos (eds.) Transportation Systems, Vol. II (International Federation of Automatic Control, Chania, Greece).
• D. Helbing and P. Molnár (1997) Self-organization phenomena in pedestrian crowds. Pages 569-577 in: F. Schweitzer (ed.) Self-Organization of Complex Structures: From Individual to Collective Dynamics (Gordon and Breach, London).
• W. Weidlich with N. Koch, M. Hilliges, D. Helbing, and P. Molnár (1996) Die Entwicklung der Stadt aus der Sicht der Synergetik und Soziodynamik. Pages 210-219 in: K. Teichmann and J. Wilke (eds.) Prozeß und Form `Natürlicher Konstruktionen'. Der Sonderforschungsbereich 230 (Ernst & Sohn, Berlin).
• D. Helbing and P. Molnár (1995) Selbstorganisation in Fußgängermengen. In: Abschlußbuch des SFB 230 ''Natürliche Konstruktionen'' (Verlag Chemie, Weinheim, in preparation).
• D. Helbing (1995) Advanced macroscopic simulation models for flow optimization on freeways. Pages 353-357 in: M. Snorek, M. Sujansky, and A. Verbraeck (eds.) Modelling and Simulation 1995 (The Society for Computer Simulation International, Istanbul).
• P. Molnár and D. Helbing (1994) Computer simulation of a dynamic force model for the behavior of pedestrians. Sociology*Express, P.O. Box 4327, Burlingame, CA 94011-4327.
• D. Helbing, P. Molnár, and F. Schweitzer (1994) Computer simulations of pedestrian dynamics and trail formation. Pages 229-234 in: Evolution of Natural Structures (Sonderforschungsbereich 230, Stuttgart).
• D. Helbing (1994) Boltzmann-like and force models for behavioral changes. Pages 251-254 in: A. Bachem, U. Derigs, M. Jünger and R. Schrader (eds.) Operations Research '93 (Physica, Heidelberg).
• D. Helbing (1992) A mathematical model for behavioral changes by pair interactions. Pages 330-348 in: G. Haag, U. Mueller, and K. G. Troitzsch (eds.) Economic Evolution and Demographic Change. Formal Models in Social Sciences (Springer, Berlin).
• D. Helbing (1992) Models for pedestrian behavior. Pages 93-98 in: Natural Structures. Principles, Strategies, and Models in Architecture and Nature, Part II (Sonderforschungsbereich 230, Stuttgart).

Other

• M. Treiber and D. Helbing (1999) Explanation of Observed Features of Self-Organization in Traffic Flow, E-print archive cond-mat/9901239
  

Patents

• D. Helbing and S. Lämmer (2007) Method for coordination of concurrent processes for control of the transport of mobile units within a network (WO/2006/122528)

Contributions by Team Members

• M. Boden, L. Buzna, and H. Weger (2007) Simulation of Evacuation Scenarios in Urban Regions – Developing Tools for Modeling and Optimization of Evacuation Traffic Flows. Contribution to the 7-th European Conference of Young Research and Science Workers Transcom 2007 University of Žilina (SK).
• M. Boden and C. Kühnert (2007) Die Veränderungen des Liniennetzes des Öffentlichen Verkehrs zur Jahrhundetflut 2002 im Stadtgebiet von Dresden. Contribution to the 21th Dresden Conference on Traffic and Transportation Sciences (TU Dresden, Dresden).
• Florian Kranke, Holger Poppe, Martin Treiber, and Arne Kesting (2006) Driver assistance systems for active congestion avoidance in road traffic (in German) VDI-Berichte zur 22. VDI/VW Gemeinschaftstagung: Integrierte Sicherheit und Fahrerassistenzsysteme, ed. M. Lienkamp. Wolfsburg, October 2006. ISBN 3-18-091960-4.
• A. Kesting and M. Treiber (2006) Influence of reaction times and anticipation on the stability of vehicular traffic flow. Contribution to the Sixth IFAC Workshop on Time-Delay Systems
• C. Schiller (2006) Traffic demand models - simultaneous distribution and mode choice. Contribution to the 17th International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering (Bauhausuniversität Weimar, Weimar).
• C. Schiller (2006) Gekoppelte Verkehrsnachfragemodelle – Ein grundlegendes Modell. Straßenverkehrstechnik (Kirschbaum, Bonn).
• R. Jiang and Q.-S. Wu (2006) Interaction between vehicle and pedestrians in a narrow channel. Physica A, in print.
• R. Jiang and Q.-S. Wu (2006) Phase transition at an on-ramp in the Nagel-Schreckenberg traffic flow model. Physica A, in print.
• R. Jiang and Q.-S. Wu (2006) The moving behavior of a large object in the crowds in a narrow channel. Physica A 364, 457-463.
• R. Jiang and Q.-S. Wu (2006) A stopped time dependent randomization cellular automata model for traffic flow controlled by traffic light. Physica A 364, 493-496.
• R. Jiang and Q.-S. Wu (2005) Toward an improvement over Kerner-Klenov-Wolf three-phase cellular automaton model. Phys. Rev. E 72, 067103.
• R. Jiang and Q.-S. Wu (2005) First order phase transition from free flow to synchronized flow in a cellular automata model. European Physical Journal B 46, 581-584.
• D. Lohse, C. Schiller, and H. Teichert (2006) Das Verkehrsnachfragemodell EVA - Simultane Verkehrserzeugung, Verkehrsverteilung und Verkehrsaufteilung. Straßenverkehrstechnik (Kirschbaum, Bonn).
• M. Vrtic, D. Lohse, C. Schiller, H. Teichert, and K.W. Axhausen (2006) Ein zweiseitig gekoppeltes Modell zur simultanen Berechnung der Verkehrserzeugung, Verkehrsverteilung und Verkehrsaufteilung: theoretischer Hintergrund und praktische Anwendung für ein nationales Modell der Schweiz. www.verkehrsforschung-online.de (Deutsche Verkehrswissenschaftliche Gesellschaft, Berlin).
• C. Schiller (2006) Modellierung von Verkehrsangebot und Verkehrsnachfrage (Teil Nachfragemodellierung). DVWG-Seminar: Modellierung von Verkehrsangebot und Verkehrsnachfrage (Deutsche Verkehrswissenschaftliche Gesellschaft, Berlin).
• D. Lohse, C. Schiller, and H. Teichert (2005) Modellierung von alternativen Bedienungsformen. Entwicklung des ÖPNV. (n.N., n.N.).
• C. Schiller (2005) Analyse und Prognose des fließenden und ruhenden Verkehrs im verkehrsplanerischen Modellkomplex VISEVA/VISUM. Contribution to the 20th Dresden Conference on Traffic and Transportation Sciences (TU Dresden, Dresden).
• M. Vrtic, D. Lohse, C. Schiller, H. Teichert, K. W. Axhausen (2005) Simultaneous two-dimensionally constraint disaggregate trip generation, distribution and mode choice model. Transport Research - A, Special Issue (ELSEVIER, Amsterdam).
• C. Schiller (8/2005) Modellierung des fließenden und ruhenden Verkehrs in Verkehrsangebot und Verkehrsnachfrage. Straßenverkehrstechnik (Kirschbaum, Bonn).
• B.-L. Wenning, C. Görg, and K. Peters (2005) Modellierung von Selbststeuerung in Transportnetzen. Industriemanagement 21(5), 53-56.
• M. Vrtic, P. Frölich, S. Schüssler, S. Dasen, A. Erne, B. Singer, K. W. Axhausen, C. Schiller, and D. Lohse (2005) Erzeugung neuer Quell-/Zielmatrizen im Personenverkehr. Bericht an die Bundesämter für Raumentwicklung, für Strassen und für Verkehr (Bundesamt für Strassen und Bundesamt für Verkehr, Zürich).
• M. Vrtic, D. Lohse, K. W. Axhausen, C. Schiller, P. Fröhlich, and S. Schüssler (2005) Estimation of O-D matrices with a simultaneous trip generation, distribution and mode choice model. Contribution to the European Transport Conference (Association Transport, London).
• M. Vrtic, D. Lohse, C. Schiller, H. Teicher, and K. W. Axhausen (2005) A simultaneous two-dimensionally constraint disaggregate trip generation, distribution and mode choice model: Theory and application for a Swiss national model. Contribution to the European Regional Science Association (European Regional Science Association Council, Amsterdam).
• H. Y. Lee, H. Y. Chan, and P. M. Hui (2004) Scale-free networks with tunable degree-distribution exponents. Phys. Rev. E 69, 067102.
• T. S. Lo, H. Y. Chan, P. M. Hui, and N. F. Johnson (2004) Theory of networked minority games based on strategy pattern dynamics. Phys. Rev. E 70, 056102.
• D. Lohse and C. Schiller (2004) Nachfrageprognosesystem im Rahmen von INTERMOBIL - Region Dresden. Endbericht des Forschungsprojektes NaProS (DB Systems GmbH, Frankfurt/Main).
• B. Scholz-Reiter, K. Peters, and C. de Beer (2004) Autonomous control of shop floor logistics. In: G. Chryssolouris (ed.) Proc. IFAC-MIM'04, Manufacturing, Modeling, Management and Control.
• C. Schiller (2004) Integration des ruhenden Verkehrs in die Verkehrsangebots- und Verkehrsnachfragemodellierung. Schriftenreihe des Institutes für Verkehrsplanung und Straßenverkehr Heft 8 (TU Dresden, Dresden).
• C. Schiller (2003) Modellierung und Ausschreibung von Alternativen Bedienungsformen in Form von Teilnetzen unter Integration traditioneller Linienverkehre Endbericht 12 des Forschungsprojektes AMABILE. (BMBF, Berlin).