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008			220430s2022 sz | s |||| 0|eng d
020			_a9783030896720
024	7		_a10.1007/978-3-030-89672-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHE336.T76 _b2022 EB
245	0	4	_aThe Evolution of Travel Time Information Systems : _bThe Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments _cedited by Margarita Martínez-Díaz
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XX, 289 páginas) _b76 ilustraciones, 50 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringer Tracts on Transportation and Traffic _x2194-8127 _v19
505	0		_aTraffic monitoring and reconstruction -- Travel time information revisited -- A simple algorithm for the estimation of road traffic space mean speeds from data available to most management centers -- Accurate, affordable and widely applicable freeway travel time prediction: fusing vehicle counts with data provided by new monitoring technologies -- Travel time information systems in the era of cooperative automated vehicles -- Dynamic traffic management: a bird´s eye view -- Data analytics and models for understanding and predicting travel patterns in urban scenarios -- Overall conclusions and further research.
520			_aThis book deals with the estimation of travel time in a very comprehensive and exhaustive way. Travel time information is and will continue to be one key indicator of the quality of service of a road network and a highly valued knowledge for drivers. Moreover, travel times are key inputs for comprehensive traffic management systems. All the above-mentioned aspects are covered in this book. The first chapters expound on the different types of travel time information that traffic management centers work with, their estimation, their utility and their dissemination. They also remark those aspects in which this information should be improved, especially considering future cooperative driving environments. Next, the book introduces and validates two new methodologies designed to improve current travel time information systems, which additionally have a high degree of applicability: since they use data from widely disseminated sources, they could be immediately implemented by many administrations without the need for large investments. Finally, travel times are addressed in the context of dynamic traffic management systems. The evolution of these systems in parallel with technological and communication advancements is thoroughly discussed. Special attention is paid to data analytics and models, including data-driven approaches, aimed at understanding and predicting travel patterns in urban scenarios. Additionally, the role of dynamic origin-to-destination matrices in these schemes is analyzed in detail.
988			_aSpringer_Engineering_2022
650		7	_2embne _9144847 _aIngeniería de tráfico
650		7	_2embne _9672171 _aTransportes _xPlanificación
700	1		_aMartínez-Díaz, Margarita _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9683716
776	0	8	_iPrinted edition: _z9783030896713
776	0	8	_iPrinted edition: _z9783030896737
776	0	8	_iPrinted edition: _z9783030896744
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-89672-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2022 _dz _eIG _zSI