The Multi-agent Transport Simulation MATSim by Andreas Horni, Kai Nagel, Kay W. Axhausen ISBN 9781909188778, 9781909188785, 9781909188761, 9781909188754, 1909188778, 1909188786, 190918876X, 1909188751 instant download

The Multi-agent Transport Simulation MATSim by Andreas Horni, Kai Nagel, Kay W. Axhausen ISBN 9781909188778, 9781909188785, 9781909188761, 9781909188754, 1909188778, 1909188786, 190918876X, 1909188751 instant download

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.
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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.
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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.