Distributed, integrated and interactive traffic simulations

Mainstream discourse in urban planning is in transition, due to shifts from a technical to a communicative perspective, and increased scrutiny and criticism of models and simulations. The cognizance of complexity in urban systems is imposing limitations on modeling. The added benefits of today's data and computational power make simulations harder to validate and understand. Reconciling the movements towards a communicative and exploratory approach as compared to a technical and predictive approach requires new methods for planning process and posits new requirements and functions for simulations. Based on distributed simulation and gaming simulation, the paper presents a framework to support the exploration of simulated and realistic virtual worlds in a participatory fashion, enabling new approaches to urban planning. The development and evaluation of the framework casts simulations in a new perspective and explores the context of use of simulations in planning and design.

[1]  John Gaber Simulating Planning , 2007 .

[2]  Juval Portugali,et al.  Complexity Theories of Cities: Implications to Urban Planning , 2012 .

[3]  Riitta Smeds,et al.  Frontiers in Gaming Simulation, Springer Lecture Notes in Computer Science, Vol. 8264 , 2014 .

[4]  Urs Gasser,et al.  Interop: The Promise and Perils of Highly Interconnected Systems , 2012 .

[5]  Maureen E. Penfold Social Justice and the City , 1974 .

[6]  Richard D. Duke,et al.  Principles and practices of gaming-simulation , 1981 .

[7]  Oswald Devisch The metaverse as lab to experiment with problems of organized complexity. , 2012 .

[8]  M. Castells The rise of the network society , 1996 .

[9]  Patsy Healey,et al.  Relational complexity and the imaginative power of strategic spatial planning1 , 2006 .

[10]  Osman Balci Verification, validation, and certification of modeling and simulation applications , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[11]  Gert de Roo,et al.  Positioning Planning in the World of Order, Chaos and Complexity: On Perspectives, Behaviour and Interventions in a Non-linear Environment , 2012 .

[12]  Juval Portugali,et al.  Self-Organization and the City , 2009, Encyclopedia of Complexity and Systems Science.

[13]  Maxim Raya,et al.  TraCI: an interface for coupling road traffic and network simulators , 2008, CNS '08.

[14]  E. M. Van Bueren,et al.  Greening Governance: an Evolutionary Approach to Policy Making for a Sustainable Built Environment , 2009 .

[15]  L. F. Perrone,et al.  PARALLEL AND DISTRIBUTED SIMULATION : TRADITIONAL TECHNIQUES AND RECENT ADVANCES , 2006 .

[16]  Jonathan Hughes,et al.  Non-Plan: Essays on Freedom, Participation and Change in Modern Architecture and Urbanism , 2013 .

[17]  Richard K. Brail,et al.  Planning Support Systems Evolving: When the Rubber Hits the Road , 2006 .

[18]  Bert van Wee,et al.  Viewpoint: Toward a new generation of land use transport interaction models , 2015 .

[19]  Michael Batty,et al.  Cities and complexity - understanding cities with cellular automata, agent-based models, and fractals , 2007 .

[20]  Manuel Castells,et al.  The Information Age: Economy, Society and Culture. Volume I. The Rise of the Network Society , 1997 .

[21]  P. Davidoff Advocacy and Pluralism in Planning , 1965 .

[22]  Manuel Castells,et al.  The Information Age: Economy, Society and Culture , 1999 .

[23]  David Thacher Deliberative Policy Analysis: Understanding Governance in the Network Society , 2005 .

[24]  J. Jacobs The Death and Life of Great American Cities , 1962 .

[25]  Sebastiaan Meijer,et al.  A Review of Gaming Simulation in Transportation , 2013, ISAGA.

[26]  Sebastiaan Meijer,et al.  Architectures for distributed, interactive and integrated traffic simulations , 2015, 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[27]  Michael Batty Models Again: Their Role in Planning and Prediction , 2015 .

[28]  J. Minnery,et al.  Toying with the City? Using the Computer Game SimCity™4 in Planning Education , 2014 .

[29]  J. Innes Planning Through Consensus Building: A New View of the Comprehensive Planning Ideal , 1996 .

[30]  Paul Weirich,et al.  The Philosophy and Epistemology of Simulation: A Review , 2010 .

[31]  Давидофф Пол Advocacy and Pluralism in Planning , 1965 .

[32]  S. Cass Mind games [computer game AI] , 2002 .

[33]  P. Healey Collaborative Planning: Shaping Places in Fragmented Societies , 1997 .

[34]  Nikos A. Salingaros,et al.  Complexity and Urban Coherence , 2000 .

[35]  C. Lindblom THE SCIENCE OF MUDDLING THROUGH , 1959 .

[36]  Daniel Krajzewicz,et al.  Recent Development and Applications of SUMO - Simulation of Urban MObility , 2012 .

[37]  Richard M. Fujimoto,et al.  Exploiting temporal uncertainty in parallel and distributed simulations , 1999, Proceedings Thirteenth Workshop on Parallel and Distributed Simulation. PADS 99. (Cat. No.PR00155).

[38]  Michael Batty,et al.  Modelling and prediction in a complex world , 2005 .

[39]  Na Phelps,et al.  Planning with complexity: an introduction for collaborative rationality for public policy , 2011 .

[40]  Alan Wilson,et al.  Using Participatory Computer Simulation to Explore the Process of Urban Evolution , 2011, Trans. GIS.

[41]  David Byrne,et al.  Complexity Theory and Planning Theory: A Necessary Encounter , 2003 .

[42]  Juval Portugali,et al.  Planning rules for a self-planned city , 2007 .

[43]  Douglass B. Lee Retrospective on Large-Scale Urban Models , 1994 .

[44]  R. Duke,et al.  Policy games for strategic management , 2004 .