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008			220409s2022 sz | s |||| 0|eng d
020			_a9783030933708
024	7		_a10.1007/978-3-030-93370-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1005 _b2022 EB
245	0	0	_aPresent Approach to Traffic Flow Theory and Research in Civil and Transportation Engineering _cedited by Elżbieta Macioszek, Grzegorz Sierpiński
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 202 páginas) _b85 ilustraciones, 44 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Intelligent Transportation and Infrastructure _x2523-3459
520			_aThis book presents many valuable tips for making decisions related to traffic flow in the transport networks. The knowledge base in practical examples, as well as the decision support systems described in this book, finds interest among people who face the daily challenge of searching for solutions to the problems of contemporary transport networks and systems. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the evaluation of BEV and FCHEV electric vehicles in the creation of a sustainable transport systems, development of ecological public transport on the example of selected cities, impact of drivers' waiting time on the gap acceptance at median, uncontrolled T-intersections). In turn, due to a new approach to theoretical models (including, inter alia, the application of genetic algorithms for the planning of urban rail transportation system, comprehensive estimate of life cycle costs of new technical systems using reliability verification algorithm, application and comparison of machine learning algorithms in traffic signals prediction), the publication also interests scientists and researchers carrying out research in this area.
988			_aSpringer_Engineering_2022
650		7	_2embne _9144847 _aIngeniería de tráfico
700	1		_aMacioszek, Elżbieta _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681918
700	1		_aSierpiński, Grzegorz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681919
776	0	8	_iPrinted edition: _z9783030933692
776	0	8	_iPrinted edition: _z9783030933715
776	0	8	_iPrinted edition: _z9783030933722
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-93370-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2022 _dz _eIG _zSI