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The multi-agent transport simulation MATSim /

"The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Horni, Andreas (Editor ), Nagel, Kai, 1965- (Editor ), Axhausen, K. W., 1958- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Ubiquity Press, 2016.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 4 |a The multi-agent transport simulation MATSim /  |c edited by Andreas Horni, Kai Nagel, Kay W. Axhausen. 
264 1 |a London :  |b Ubiquity Press,  |c 2016. 
300 |a 1 online resource (xxxii, 586 pages) :  |b colour illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
347 |b PDF 
347 |b EPUB 
347 |b Mobi 
500 |a Resource simultaneously available in PDF, EPUB format, and MOBI format. 
504 |a Includes bibliographical references (pages 555-586). 
588 0 |a PDF version (viewed Apr 6, 2017). 
520 |a "The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status. The first part of the book gives an introduction to the most important concepts, with the intention of enabling a potential user to set up and run basic simulations. The second part of the book describes how the basic functionality can be extended, for example by adding schedule-based public transit, electric or autonomous cars, paratransit, or within-day replanning. For each extension, the text provides pointers to the additional documentation and to the code base. It is also discussed how people with appropriate Java programming skills can write their own extensions, and plug them into the MATSim core. The project has started from the basic idea that traffic is a consequence of human behavior, and thus humans and their behavior should be the starting point of all modelling, and with the intuition that when simulations with 100 million particles are possible in computational physics, then behavior-oriented simulations with 10 million travelers should be possible in travel behavior research. The initial implementations thus combined concepts from computational physics and complex adaptive systems with concepts from travel behavior research. The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. Another important aspect is the interpretation of the MATSim score as utility in the microeconomic sense, opening up a connection to benefit cost analysis. Finally, the book collects use cases as they have been undertaken with MATSim. All current users of MATSim were invited to submit their work, and many followed with sometimes crisp and short and sometimes longer contributions, always with pointers to additional references. We hope that the book will become an invitation to explore, to build and to extend agent-based modeling of travel behavior from the stable and well tested core of MATSim documented here." 
546 |a English. 
505 0 |a Part I: Using MATSim -- Part II: Extending MATSim -- Subpart One: Input Data Preparation -- Subpart Two: Mobsim -- Subpart Three: Individual Car Traffic -- Subpart Four: Other Modes Besides Individual Car -- Subpart Five: Commercial Traffic -- Subpart Six: Additional Choice Dimensions -- Subpart Seven: Within-Day Replanning -- Subpart Eight: Automatic Calibration -- Subpart Nine: Visualizers -- Subpart Ten: Analysis -- Subpart Eleven: Computational Performance Improvements -- Subpart Twelve: Other Modules -- Subpart Thirteen: Development Process & Own Modules -- Part III: Understanding MATSim -- Part IV: Scenarios. 
590 |a JSTOR  |b Books at JSTOR All Purchased 
590 |a JSTOR  |b Books at JSTOR Open Access 
650 0 |a Urban transportation  |x Computer simulation. 
650 0 |a Traffic engineering  |x Data processing. 
650 0 |a Traffic flow  |x Computer simulation. 
650 0 |a Choice of transportation  |x Forecasting  |x Computer programs. 
650 0 |a Transportation  |x Planning  |x Computer programs. 
650 0 |a Multiagent systems. 
650 6 |a Transports urbains  |x Simulation par ordinateur. 
650 6 |a Circulation  |x Simulation par ordinateur. 
650 6 |a Transport  |x Choix des modes  |x Prévision  |x Logiciels. 
650 6 |a Transport  |x Planification  |x Logiciels. 
650 6 |a Systèmes multiagents (Intelligence artificielle) 
650 7 |a Computer modelling and simulation New.  |2 bicssc 
650 7 |a Computer science.  |2 bicssc 
650 7 |a Computing and information technology.  |2 bicssc 
650 7 |a Decision theory: general.  |2 bicssc 
650 7 |a Earth sciences, geography, environment, planning.  |2 bicssc 
650 7 |a Econometrics.  |2 bicssc 
650 7 |a Economics, finance, business and management.  |2 bicssc 
650 7 |a Economics.  |2 bicssc 
650 7 |a Reference, information and interdisciplinary subjects.  |2 bicssc 
650 7 |a Regional and area planning.  |2 bicssc 
650 7 |a Research and information: general.  |2 bicssc 
650 7 |a Transport planning and policy.  |2 bicssc 
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650 7 |a Multiagent systems  |2 fast 
650 7 |a Traffic engineering  |x Data processing  |2 fast 
650 7 |a Traffic flow  |x Computer simulation  |2 fast 
650 7 |a Transportation  |x Planning  |x Computer programs  |2 fast 
650 7 |a Urban transportation  |x Computer simulation  |2 fast 
653 |a Large-scale simulation 
653 |a Agent-based modeling 
653 |a Choice modeling 
653 |a Transport modeling 
653 |a Transport planning 
700 1 |a Horni, Andreas,  |e editor. 
700 1 |a Nagel, Kai,  |d 1965-  |e editor. 
700 1 |a Axhausen, K. W.,  |d 1958-  |e editor. 
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