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008			230211s2014 sz | s |||| 0|eng d
020			_a9783031015656
024	7		_a10.1007/978-3-031-01565-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTE228.3 _b2014 EB
100	1		_aBazzan, Ana L. C. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686735
245	1	0	_aIntroduction to Intelligent Systems in Traffic and Transportation _cby Ana L.C. Bazzan, Franziska Klügl
250			_a1st edition 2014
264		1	_aCham _bSpringer International Publishing _c2014
300			_a1 recurso en línea (XVII, 119 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Artificial Intelligence and Machine Learning _x1939-4616
505	0		_aPreface -- Acknowledgments -- List of Symbols -- Introduction -- Elements of Supply -- Elements of Demand -- Traffic Assignment: Connecting Supply and Demand -- Getting Data for Demand Estimation and Traffic Flow Modeling -- Modeling and Simulation of Advanced Decision Making -- Intelligent Measures in Control and Management -- Driver Support and Guidance -- Trends and New Technologies -- Bibliography -- Authors' Biographies.
520			_aUrban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as economical issues (cost of opportunity caused by delays), environmental (externalities related to emissions of pollutants), and social (traffic accidents). Solutions to these issues are more and more closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword ``urban traffic" to filter out articles on data network traffic) retrieved the following number of articles (as of December 3, 2013): 9,443 (ACM Digital Library), 26,054 (Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate to conferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that there is a big and diverse community of computer scientists and computer engineers who tackle research that is connected to the development of intelligent traffic and transportation systems. It is also possible to see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed in projects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest to engineers and researchers from the traffic and transportation community.
988			_aSynthesis Collection of Technology_2014
650		7	_2embne _9405815 _aSistemas inteligentes de transporte
650		7	_2embne _9144847 _aIngeniería de tráfico
700			_aKlügl, Franziska _eautor _0(orcid)0000-0002-1470-6288 _1https://orcid.org/0000-0002-1470-6288 _4aut _4http://id.loc.gov/vocabulary/relators/aut _997861
776	0	8	_iPrinted edition: _z9783031004377
776	0	8	_iPrinted edition: _z9783031026935
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01565-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI