000			04138naaaa2200457uu 4500
003			BUT
005			20230324121320.0
006			m o d
007			cr|mn|---annan
008			201612s2016 x |||||o ||| eng|| d
020			_a9781909188761
020			_a9781909188778
020			_a9781909188785
040			_aoapen _coapen
041	0		_aeng
080			_a004.94
100	1		_aW. Axhausen, Kay _4edt
245	1	0	_aThe Multi-Agent Transport Simulation MATSim
260			_bUbiquity Press _c2016
300			_a1 electronic resource (618 p.)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
506	0		_aOpen Access _2star _fUnrestricted online access
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."
536			_aFP7 Ideas: European Research Council
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc
546			_aEnglish
650		0	_aПрограммное обеспечение _91402
653			_aКомпьютерное моделирование
653			_aМоделирование транспорта
700	1		_aHorni, Andreas _4edt
700	1		_aNagel, Kai _4edt
700	1		_aW. Axhausen, Kay _4oth
700	1		_aHorni, Andreas _4oth
700	1		_aNagel, Kai _4oth
856	4	0	_awww.oapen.org _uhttps://library.oapen.org/bitstream/id/859157dd-5478-4089-9fca-b3df7a7a39d4/613715.pdf _70 _zDownload
856	4	0	_awww.oapen.org _uhttp://library.oapen.org/handle/20.500.12657/32162 _70 _zDescription
909			_c255 _dRobiyakhon Olimjonova
942			_2udc _cEE
999			_c6114 _d6114