Simulation of City Evacuation Coupled to Flood Dynamics

[1]  A. Seyfried,et al.  Basics of Modelling the Pedestrian Flow , 2005, physics/0506189.

[2]  A. Schadschneider,et al.  Discretization effects and the influence of walking speed in cellular automata models for pedestrian dynamics , 2004 .

[3]  Ulrich Weidmann,et al.  Transporttechnik der Fussgänger , 1992 .

[4]  Martin Skutella,et al.  Flows over time with load-dependent transit times , 2002, SODA '02.

[5]  Valeria V. Krzhizhanovskaya,et al.  Flood early warning system: sensors and internet , 2013 .

[6]  Albert Steiner,et al.  Parameter estimation for a pedestrian simulation model , 2007 .

[7]  Christian Lebeda,et al.  Full-Scale Evacuation Experiments in a smoke filled Rail Carriage — a detailed study of passenger behaviour under reduced visibility , 2007 .

[8]  Y. Tanaboriboon,et al.  Pedestrian Characteristics Study in Singapore , 1986 .

[9]  Mohcine Chraibi,et al.  Force-based models of pedestrian dynamics , 2011, Networks Heterog. Media.

[10]  Guylène Proulx,et al.  'Panic' and human behaviour in fire , 2009 .

[11]  Brian L Allen,et al.  Empirical analysis of freeway flow-density relationships , 1986 .

[12]  Edwin R. Galea,et al.  Collection of Evacuation Data for Large Passenger Vessels at Sea , 2011 .

[13]  Cécile Appert-Rolland,et al.  Frozen shuffle update for a deterministic totally asymmetric simple exclusion process with open boundaries , 2011 .

[14]  Minjie Chen,et al.  Trajectory Extraction and Density Analysis of Intersecting Pedestrian Flows from Video Recordings , 2011, PIA.

[15]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[16]  Boris Pushkarev,et al.  CAPACITY OF WALKWAYS , 1975 .

[17]  Daniel R. Parisi,et al.  A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions , 2009 .

[18]  Anders Johansson,et al.  of a Microscopic Pedestrian Model by Evolutionary Adjustment to Video Tracking Data , 2008, 0810.4587.

[19]  H. Hilhorst,et al.  Frozen shuffle update for an asymmetric exclusion process on a ring , 2011, 1105.0352.

[20]  Andreas Schadschneider,et al.  Automatic Extraction of Pedestrian Trajectories from Video Recordings , 2010 .

[21]  D. A Purser,et al.  Quantification of behaviour for engineering design standards and escape time calculations , 2001 .

[22]  John N. Tsitsiklis,et al.  Implementation of efficient algorithms for globally optimal trajectories , 1998, IEEE Trans. Autom. Control..

[23]  Simon K. Rushton,et al.  Weighted combination of size and disparity: a computational model for timing a ball catch , 1999, Nature Neuroscience.

[24]  Panagiotis D. Kaklis,et al.  VELOS: A VR platform for ship-evacuation analysis , 2010, Comput. Aided Des..

[25]  Andreas Schadschneider,et al.  Using Stereo Recordings to Extract Pedestrian Trajectories Automatically in Space , 2011 .

[26]  Daniel P. Huttenlocher,et al.  Distance Transforms of Sampled Functions , 2012, Theory Comput..

[27]  D. Gazis,et al.  Nonlinear Follow-the-Leader Models of Traffic Flow , 1961 .

[28]  A. Schadschneider.  Cellular Automaton Approach to Pedestrian Dynamics - Theory , 2001, cond-mat/0112117.

[29]  Peter Reinartz,et al.  Automatic Crowd Analysis from Very High Resolution Satellite Images , 2013 .

[30]  R. Dawson,et al.  A methodology for national-scale flood risk assessment , 2003 .

[31]  Hartmut Schwandt,et al.  Automaton model with variable cell size for the simulation of pedestrian flow , 2008 .

[32]  Peter Reinartz,et al.  KALMAN FILTER BASED FEATURE ANALYSIS FOR TRACKING PEOPLE FROM AIRBORNE IMAGES , 2012 .

[33]  R. J. Wheeler,et al.  PEDESTRIAN FLOW CHARACTERISTICS , 1969 .

[34]  Peter Reinartz,et al.  Automatic crowd analysis from airborne images , 2011, Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011.

[35]  Richard L. Francis,et al.  Network models for building evacuation , 1982 .

[36]  Miao Wang,et al.  An agent-based model for risk-based flood incident management , 2011 .

[37]  Armin Seyfried,et al.  Modelling of pedestrian movement around 90° and 180° bends , 2009 .

[38]  Satish Chandra,et al.  EFFECT OF LANE WIDTH ON CAPACITY UNDER MIXED TRAFFIC CONDITIONS IN INDIA , 2003 .

[39]  Dirk Helbing,et al.  Dynamics of crowd disasters: an empirical study. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[40]  Lorenzo Meschini,et al.  Simulating Car-pedestrian Interactions during Mass Events with DTA Models: The Case of Vancouver Winter Olympic Games , 2009 .

[41]  Decomposition , 1902, The Indian medical gazette.

[42]  Guylène Proulx.  Evacuation time and movement in apartment buildings , 1995 .

[43]  Judy Edworthy,et al.  Warning design : a research prospective , 1996 .

[44]  Judy Edworthy,et al.  Acoustic, semantic and phonetic influences in spoken warning signal words , 2003 .

[45]  Tobias Kretz,et al.  Pedestrian traffic: on the quickest path , 2009, ArXiv.

[46]  Daniel M. Madrzykowski,et al.  Report of the technical investigation of The Station nightclub fire :: appendices , 2005 .

[47]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .

[48]  Michel Bierlaire,et al.  Specification, estimation and validation of a pedestrian walking behaviour model , 2007 .

[49]  Takashi Nagatani,et al.  Freezing transition in bi-directional CA model for facing pedestrian traffic , 2009 .

[50]  Jianhong Ye,et al.  Relationships and Characteristics of Pedestrian Traffic Flow in Confined Passageways , 2010 .

[51]  Dirk Helbing,et al.  How simple rules determine pedestrian behavior and crowd disasters , 2011, Proceedings of the National Academy of Sciences.

[52]  Tat'yana Yurgel'yan,et al.  On Time Scaling and Validation of a Stochastic CA Pedestrian Dynamics Model , 2011 .

[53]  Brett R. Fajen,et al.  Behavioral Dynamics of Visually Guided Locomotion , 2008 .

[54]  Panagiotis D. Kaklis,et al.  Use of VELOS platform for modeling and assessing crew assistance and passenger grouping in ship-evacuation analysis , 2011 .

[55]  Dietmar Bauer,et al.  Measurement of Pedestrian Movements: A Comparative Study on Various Existing Systems , 2009 .

[56]  M. Herty,et al.  Network models for supply chains , 2005 .

[57]  Reginald G. Golledge.  DEFINING THE CRITERIA USED IN PATH SELECTION. , 1995 .

[58]  Mauro Garavello,et al.  Traffic Flow on a Road Network , 2005, SIAM J. Math. Anal..

[59]  Hai-Jun Huang,et al.  Static floor field and exit choice for pedestrian evacuation in rooms with internal obstacles and multiple exits. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[60]  E. Montroll,et al.  Traffic Dynamics: Studies in Car Following , 1958 .

[61]  Jerome M. Chertkoff,et al.  Don't Panic: The Psychology of Emergency Egress and Ingress , 1999 .

[62]  Dinesh Manocha,et al.  Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.

[63]  J. Sime.  Crowd psychology and engineering , 1995 .

[64]  Håkan Frantzich.  En modell för dimensionering av förbindelser för utrymning utifrån funktionsbaserade krav , 1994 .

[65]  Mohcine Chraibi,et al.  Quantitative Description of Pedestrian Dynamics with a Force-Based Model , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[66]  Mohcine Chraibi,et al.  Generalized centrifugal-force model for pedestrian dynamics. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[67]  Guylène Proulx,et al.  A stress model for people facing a fire , 1993 .

[68]  Novacheck,et al.  The biomechanics of running. , 1998, Gait & posture.

[69]  Matthias Nussbaum,et al.  Pedestrian And Evacuation Dynamics , 2016 .

[70]  Gabriel Wurzer.  Schematic Systems — Constraining Functions through Processes (and Vice Versa) , 2010 .

[71]  Ko Sok Chae,et al.  Simulation of Pedestrian-Vehicle Interactions at Roundabouts , 2008 .

[72]  Martin Skutella,et al.  Time-Expanded Graphs for Flow-Dependent Transit Times , 2002, ESA.

[73]  Christian Bauckhage,et al.  Loveparade 2010: Automatic video analysis of a crowd disaster , 2012, Comput. Vis. Image Underst..

[74]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[75]  Armin Seyfried,et al.  Steps Toward the Fundamental Diagram — Empirical Results and Modelling , 2007 .

[76]  T. Nagatani,et al.  Scaling of pedestrian channel flow with a bottleneck , 2001 .

[77]  Ross Graham.  Motion‐Induced Interruptions as Ship Operability Criteria , 1990 .

[78]  Jun Zhang,et al.  Transitions in pedestrian fundamental diagrams of straight corridors and T-junctions , 2011, 1102.4766.

[79]  John Morrall,et al.  COMPARISON OF CENTRAL BUSINESS DISTRICT PEDESTRIAN CHARACTERISTICS IN CANADA AND SRI LANKA , 1991 .

[80]  John Drury,et al.  Everyone for themselves? A comparative study of crowd solidarity among emergency survivors. , 2009, The British journal of social psychology.

[81]  William D. Davis,et al.  Quantifying fire model evaluation using functional analysis , 1999 .

[82]  Huixin Wu,et al.  Microscopic dynamic simulation model for pedestrian-vehicle mixed traffic , 2010, 2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT).

[83]  A. Schadschneider,et al.  Enhanced Empirical Data for the Fundamental Diagram and the Flow Through Bottlenecks , 2008, 0810.1945.

[84]  Cécile Appert-Rolland,et al.  Two-way multi-lane traffic model for pedestrians in corridors , 2011, Networks Heterog. Media.

[85]  Daren C. Brabham.  Crowdsourcing the Public Participation Process for Planning Projects , 2009 .

[86]  Håkan Frantzich,et al.  Study of movement on stairs during evacuation using video analysing techniques , 1996 .

[87]  Dirk Helbing,et al.  Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data , 2007, Adv. Complex Syst..

[88]  L. A. Pipes.  An Operational Analysis of Traffic Dynamics , 1953 .

[89]  P. Koushki,et al.  WALKING CHARACTERISTICS IN CENTRAL RIYADH, SAUDI ARABIA , 1988 .

[90]  Kardi Teknomo,et al.  Microscopic Pedestrian Flow Characteristics: Development of an Image Processing Data Collection and Simulation Model , 2016, ArXiv.

[91]  Brett R Fajen,et al.  Behavioral dynamics of steering, obstacle avoidance, and route selection. , 2003, Journal of experimental psychology. Human perception and performance.

[92]  Hannes Taubenböck,et al.  Emergency Preparedness in the Case of a Tsunami—Evacuation Analysis and Traffic Optimization for the Indonesian City of Padang , 2010 .

[93]  Hironori Hirata,et al.  Method of crowd simulation by using multiagent on cellular automata , 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

[94]  Benedetto Piccoli,et al.  Modeling, Simulation, and Optimization of Supply Chains - A Continuous Approach , 2010 .

[95]  Steven M. LaValle,et al.  Planning algorithms , 2006 .

[96]  M. Schreckenberg,et al.  Experimental study of pedestrian flow through a bottleneck , 2006, physics/0610077.

[97]  M. Baltes,et al.  Why People Cross Where They Do: The Role of Street Environment , 2002 .

[98]  G. Proulx,et al.  Human Behavior In The World Trade Center Evacuation , 1997 .

[99]  Dinesh Manocha,et al.  Reciprocal n-Body Collision Avoidance , 2011, ISRR.

[100]  Richard Carvel,et al.  A History of Fire Incidents in Tunnels , 2005 .

[101]  J. Brian Burns,et al.  Path planning using Laplace's equation , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[102]  J. MacGregor Smith,et al.  Topological network design of pedestrian networks , 2001 .

[103]  Alexander E. Berlonghi,et al.  Understanding and planning for different spectator crowds , 1995 .

[104]  Andreas Schadschneider,et al.  Friction effects and clogging in a cellular automaton model for pedestrian dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[105]  Michael Schreckenberg,et al.  Moore and more and symmetry , 2008, ArXiv.

[106]  Dietmar Bauer,et al.  Estimating Pedestrian Movement Characteristics for Crowd Control at Public Transport Facilities , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[107]  Helmut Schrom-Feiertag,et al.  Creating a richer data source for 3D pedestrian flow simulations in public transport , 2010, MB '10.

[108]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[109]  Taras I. Lakoba,et al.  Modifications of the Helbing-Molnár-Farkas-Vicsek Social Force Model for Pedestrian Evolution , 2005, Simul..

[110]  Wolfram Klein,et al.  Microscopic Pedestrian Simulations: From Passenger Exchange Times to Regional Evacuation , 2010, OR.

[111]  Benigno E. Aguirre,et al.  A Critical Review Of Emergency Evacuation Simulation Models , 2004 .

[112]  Christian Lebeda,et al.  Evacuation of a High Floor Metro Train in a Tunnel Situation: Experimental Findings , 2010 .

[113]  Stephen John Turner,et al.  Symbiotic Simulation Systems: An Extended Definition Motivated by Symbiosis in Biology , 2008, 2008 22nd Workshop on Principles of Advanced and Distributed Simulation.

[114]  Timo Korhonen,et al.  Fire Dynamics Simulator with Evacuation: FDS+Evac , 2010 .

[115]  Partha Chakroborty,et al.  Comparison of Pedestrian Fundamental Diagram across Cultures , 2009, Adv. Complex Syst..

[116]  R F. Fahy.  Enhancement of EXIT89 and Analysis of World Trade Center Data | NIST , 1996 .

[117]  Dirk Helbing,et al.  Experimental study of the behavioural mechanisms underlying self-organization in human crowds , 2009, Proceedings of the Royal Society B: Biological Sciences.

[118]  B. Piccoli,et al.  Time-Evolving Measures and Macroscopic Modeling of Pedestrian Flow , 2008, 0811.3383.

[119]  Wentong Cai,et al.  Crowd modeling and simulation technologies , 2010, TOMC.

[120]  Dinesh Manocha,et al.  PLEdestrians: a least-effort approach to crowd simulation , 2010, SCA '10.

[121]  A. Seyfried,et al.  The repulsive force in continous space models of pedestrian movement , 2008, 0803.1319.

[122]  Paul Crossland,et al.  Motion-induced interruptions aboard ship: Model development and application to ship design , 2007 .

[123]  Yu-Chun Wang,et al.  Survey of pedestrian movement and development of a crowd dynamics model , 2008 .

[124]  Ekaterina Kirik,et al.  Artificial Intelligence of Virtual People in CA FF Pedestrian Dynamics Model , 2009, PPAM.

[125]  Ming C. Lin,et al.  Aggregate dynamics for dense crowd simulation , 2009, ACM Trans. Graph..

[126]  Daichi Yanagisawa,et al.  Mean-field theory for pedestrian outflow through an exit. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[127]  Liu Ying-zhen,et al.  Research on Cognitive Map Formation Based on Reading Experiments , 2008 .

[128]  G. Lämmel.  Coupling force-based and graph-based models for multi-agent wayfinding in complex environments , 2011 .

[129]  Karen Boyce,et al.  Towards Developing an Understanding of Human Behaviour of Fire in Tunnels , 2004 .

[130]  Remo Burkhard,et al.  ETH Future Cities Simulation Platform , 2010 .

[131]  Jian Li,et al.  Simulation of the kin behavior in building occupant evacuation based on Cellular Automaton , 2005 .

[132]  Darren Lumbroso,et al.  Hydrodynamic and loss of life modelling for the 1953 Canvey Island flood , 2008 .

[133]  Moshe Ben-Akiva,et al.  Dynamic latent plan models , 2010 .

[134]  Simon K. Rushton,et al.  Observers cannot accurately estimate the speed of an approaching object in flight , 2009, Vision Research.

[135]  Ben Gouldby,et al.  Multiscale modelling in real-time flood forecasting systems: From sand grain to dike failure and inundation , 2010, ICCS.

[136]  M. Tarr,et al.  Virtual reality in behavioral neuroscience and beyond , 2002, Nature Neuroscience.

[137]  A. Schadschneider,et al.  Metastable states in cellular automata for traffic flow , 1998, cond-mat/9804170.

[138]  Majid Sarvi,et al.  Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions , 2011 .

[139]  T. Kanda,et al.  Social force model with explicit collision prediction , 2011 .

[140]  Armin Seyfried,et al.  Improving Egress Design through Measurement and Correct Interpretation of the Fundamental Diagram for Stairs , 2010 .

[141]  J. Pettré,et al.  A synthetic-vision based steering approach for crowd simulation , 2010, ACM Trans. Graph..

[142]  Weicheng Fan,et al.  Cellular automata pedestrian movement model considering human behavior , 2003 .

[143]  William H. K. Lam,et al.  PEDESTRIAN FLOW CHARACTERISTICS IN HONG KONG , 1995 .

[144]  Cécile Appert-Rolland,et al.  Properties of pedestrians walking in line. II. Stepping behavior. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[145]  Andreas Schadschneider,et al.  Extended Floor Field CA Model for Evacuation Dynamics , 2004, IEICE Trans. Inf. Syst..

[146]  W. H. Warren.  The dynamics of perception and action. , 2006, Psychological review.

[147]  Wolfram Klein,et al.  On modelling the influence of group formations in a crowd , 2011 .

[148]  Stéphane Donikian,et al.  Experiment-based modeling, simulation and validation of interactions between virtual walkers , 2009, SCA '09.

[149]  Craig W. Reynolds.  Steering Behaviors For Autonomous Characters , 1999 .

[150]  Erica D. Kuligowski,et al.  The Process of Human Behavior in Fires , 2009 .

[151]  Hao Jiang,et al.  A semantic environment model for crowd simulation in multilayered complex environment , 2009, VRST '09.

[152]  Gao Peng,et al.  3-Tier Architecture for Pedestrian Agent in Crowd Simulation , 2010 .

[153]  Armin Seyfried,et al.  Improved Methods for Checking Forces Based Models of Pedestrian Dynamics , 2011 .

[154]  N. B. Melnikova,et al.  Virtual Dike and Flood Simulator : Parallel distributed computing for flood early warning systems , 2011 .

[155]  A. Ōkubo.  Dynamical aspects of animal grouping: swarms, schools, flocks, and herds. , 1986, Advances in biophysics.

[156]  Brian R. Gallagher,et al.  Analysis of Pedestrian Gait and Perception-Reaction at Signal-Controlled Crosswalk Intersections , 2000 .

[157]  Daniel Nilsson,et al.  Evacuation experiment in a road tunnel: A study of human behaviour and technical installations , 2009 .

[158]  D. Helbing,et al.  The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics , 2010, PloS one.

[159]  Andreas Schadschneider,et al.  VALIDATION OF CA MODELS OF PEDESTRIAN DYNAMICS WITH FUNDAMENTAL DIAGRAMS , 2009, Cybern. Syst..

[160]  Christian Bauckhage,et al.  Automatic detection of dangerous motion behavior in human crowds , 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[161]  J. Drury,et al.  Modelling subgroup behaviour in crowd dynamics DEM simulation , 2009 .

[162]  Guylène Proulx,et al.  Occupant Behavior and Evacuation During the Chicago Cook County Administration Building Fire , 2006 .

[163]  Michel Bierlaire,et al.  Discrete Choice Models for Pedestrian Walking Behavior , 2006 .

[164]  Stéphane Bonneaud,et al.  Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations , 2012, Trans. Edutainment.

[165]  Ralph Kiefl,et al.  Assessment of human immediate response capability related to tsunami threats in Indonesia at a sub-national scale , 2009 .

[166]  P. N. Kugler,et al.  Information, Natural Law, and the Self-Assembly of Rhythmic Movement , 2015 .

[167]  Thomas K. Peucker,et al.  2. Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or its Caricature , 2011 .

[168]  Standort Duisburg,et al.  A Cellular Automaton Model for Crowd Movement and Egress Simulation , 2003 .

[169]  Michael Schultz,et al.  Passenger Dynamics at Airport Terminal Environment , 2010 .

[170]  H. Hilhorst,et al.  Intersection of two TASEP traffic lanes with frozen shuffle update , 2011, 1107.5166.

[171]  Robert Overgaard,et al.  Real World Walking Speeds of Young Pedestrians , 2001 .

[172]  A. Aveni.  The not-so-lonely crowd: Friendship groups in collective behavior. , 1977 .

[173]  G. Ermentrout.  Dynamic patterns: The self-organization of brain and behavior , 1997 .

[174]  Nirajan Shiwakoti,et al.  Enhancing the Safety of Pedestrians during Emergency Egress , 2009 .

[175]  Mark H. Overmars,et al.  Simulating the local behaviour of small pedestrian groups , 2010, VRST '10.

[176]  Sébastien Paris,et al.  Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach , 2007, Comput. Graph. Forum.

[177]  E. Hall,et al.  The Hidden Dimension , 1970 .

[178]  M. Schreckenberg,et al.  Microscopic Simulation of Pedestrian Crowd Motion , 2002 .

[179]  Michael Harville,et al.  Stereo person tracking with adaptive plan-view templates of height and occupancy statistics , 2004, Image Vis. Comput..

[180]  Victor J. Blue,et al.  Cellular Automata Microsimulation of Bidirectional Pedestrian Flows , 1999 .

[181]  Andreas Schadschneider,et al.  Phase Coexistence in Congested States of Pedestrian Dynamics , 2010, ACRI.

[182]  Florian Schmidt,et al.  Integrating pedestrian simulation, tracking and event detection for crowd analysis , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[183]  William H. K. Lam,et al.  A generalised function for modeling bi-directional flow effects on indoor walkways in Hong Kong , 2003 .

[184]  Minjie Chen,et al.  A study of step calculations in traffic cellular automaton models , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[185]  Hubert Klüpfel,et al.  Evacuation Dynamics: Empirical Results, Modeling and Applications , 2009, Encyclopedia of Complexity and Systems Science.

[186]  Jin Sun,et al.  Modeling and Optimization of Crowd Guidance for Building Emergency Evacuation , 2008, ICIRA.

[187]  M. Rex,et al.  Lane formation in oppositely charged colloids driven by an electric field: chaining and two-dimensional crystallization. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[188]  Francesco Ciari,et al.  Large-scale agent-based travel demand optimization applied to Switzerland, including mode choice , 2010 .

[189]  Valeria V. Krzhizhanovskaya,et al.  Machine learning methods for environmental monitoring and flood protection , 2011 .

[190]  A. Seyfried,et al.  The fundamental diagram of pedestrian movement revisited , 2005, physics/0506170.

[191]  L. C. Boer.  Behavior of drivers during tunnel evacuation , 2003 .

[192]  George J. Andersen,et al.  Optical Information for Car Following: The Driving by Visual Angle (DVA) Model , 2007, Hum. Factors.

[193]  W. H. Warren,et al.  Behavioral dynamics of intercepting a moving target , 2007, Experimental Brain Research.

[194]  Richard Fujimoto,et al.  Grand Challenges for Modeling and Simulation Dagstuhl Report , 2002 .

[195]  Axel Klar,et al.  Modeling, Simulation, and Optimization of Traffic Flow Networks , 2003, SIAM J. Sci. Comput..

[196]  Tadahisa Jin,et al.  Visibility through fire smoke , 1978 .

[197]  Marco Costa,et al.  Interpersonal Distances in Group Walking , 2010 .

[198]  Ross T. Whitaker.  A FAST EIKONAL EQUATION SOLVER FOR PARALLEL SYSTEMS , 2007 .

[199]  Dietmar Bauer,et al.  Can Walking Behavior be Predicted?: Analysis of Calibration and Fit of Pedestrian Models , 2011 .

[200]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[201]  J. Tsitsiklis,et al.  Efficient algorithms for globally optimal trajectories , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[202]  David H. Douglas,et al.  ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .

[203]  M. Alberti.  Measuring urban sustainability , 1996 .

[204]  Valeria V. Krzhizhanovskaya,et al.  Virtual Dike: multiscale simulation of dike stability , 2011, ICCS.

[205]  Serge P. Hoogendoorn,et al.  Microscopic Parameter Identification of Pedestrian Models and Implications for Pedestrian Flow Modeling , 2006 .

[206]  Vicsek,et al.  Freezing by heating in a driven mesoscopic system , 1999, Physical review letters.

[207]  Hiroshi Ishiguro,et al.  Laser-Based Tracking of Human Position and Orientation Using Parametric Shape Modeling , 2009, Adv. Robotics.

[208]  Rainer E. Burkard,et al.  The quickest flow problem , 1993, ZOR Methods Model. Oper. Res..

[209]  Robert Herman,et al.  Traffic Dynamics: Analysis of Stability in Car Following , 1959 .

[210]  S. Bell,et al.  Sustainability Indicators: Measuring the Immeasurable? , 1999 .

[211]  Jodie Y S Lee,et al.  A study of the bi-directional pedestrian flow characteristics at Hong Kong signalized crosswalk facilities , 2002 .

[212]  Chao Yang,et al.  Walking Behavior and Pedestrian Flow Characteristics for Different Types of Walking Facilities , 2008 .

[213]  B. Gouldby,et al.  A methodology for regional-scale flood risk assessment , 2008 .

[214]  R. J. Meijer,et al.  Artificial intelligence and finite element modelling for monitoring flood defence structures , 2011, 2011 IEEE Workshop on Environmental Energy and Structural Monitoring Systems.

[215]  Yordphol Tanaboriboon,et al.  ANALYSIS OF PEDESTRIAN MOVEMENTS IN BANGKOK , 1991 .

[216]  Armin Seyfried,et al.  Hermes - an Evacuation Assistant for Mass Events , 2009 .

[217]  Ricardo Ruiz-Baier,et al.  An adaptive finite-volume method for a model of two-phase pedestrian flow , 2011, Networks Heterog. Media.

[218]  Yoshifumi Ohmiya,et al.  Occupants' behaviour in response to the high-rise apartments fire in Hiroshima City , 1999 .

[219]  K. D. Bruijn,et al.  Application and validation of mortality functions to assess the consequences of flooding to people , 2012 .

[220]  Lubos Buzna,et al.  Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions , 2005, Transp. Sci..

[221]  Ekaterina Kirik,et al.  On Influencing of a Space Geometry on Dynamics of Some CA Pedestrian Movement Model , 2010, ACRI.

[222]  Armin Seyfried,et al.  Optimizing the Evacuation Time of Pedestrians in a Graph-based Navigation , 2010 .

[223]  Michel Rascle,et al.  Resurrection of "Second Order" Models of Traffic Flow , 2000, SIAM J. Appl. Math..

[224]  Timo Korhonen,et al.  Fire Dynamics Simulator with Evacuation: FDS+Evac: Technical Reference and User's Guide , 2009 .

[225]  Jason Brandon Abrams,et al.  Wayfinding in Architecture , 2010 .

[226]  Charles W. Warren,et al.  Global path planning using artificial potential fields , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[227]  Bartosz Balis,et al.  Flood early warning system: design, implementation and computational modules , 2011, ICCS.

[228]  S. Dai,et al.  Centrifugal force model for pedestrian dynamics. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[229]  Ekaterina Kirik,et al.  ON REALIZING THE SHORTEST TIME STRATEGY IN A CA FF PEDESTRIAN DYNAMICS MODEL , 2011, Cybern. Syst..

[230]  S. Gwynne,et al.  Employing the Hydraulic Model in Assessing Emergency Movement , 2016 .

[231]  Armin Seyfried,et al.  Evacuation Assistance for a Sports Arena Using a Macroscopic Network Model , 2011 .

[232]  D. Silcock,et al.  PEDESTRIANS AT RISK , 1998 .

[233]  H. W. Hamacher,et al.  Mathematical Modelling of Evacuation Problems: A State of Art , 2001 .

[234]  Serge P. Hoogendoorn,et al.  Fundamental Diagrams for Pedestrian Networks , 2011 .

[235]  David Gibson,et al.  The Wayfinding Handbook: Information Design for Public Places , 2009 .

[236]  Leon Sterling,et al.  Modelling pedestrian behaviour using the BDI architecture , 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[237]  Serge P. Hoogendoorn,et al.  Pedestrian Behavior at Bottlenecks , 2005, Transp. Sci..

[238]  J. Pettré,et al.  Properties of pedestrians walking in line: fundamental diagrams. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[239]  H. Löwen,et al.  Lane formation in colloidal mixtures driven by an external field. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.