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020			_a9783030896720
024	7		_a10.1007/978-3-030-89672-0 _2doi
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245	1	4	_aThe Evolution of Travel Time Information Systems _h[electronic resource] : _bThe Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments / _cedited by Margarita Martínez-Díaz.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_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.
650		0	_aTransportation engineering.
650		0	_aTraffic engineering.
650		0	_aCivil engineering.
650		0	_aTransportation.
650	1	4	_aTransportation Technology and Traffic Engineering.
650	2	4	_aCivil Engineering.
650	2	4	_aTransportation Economics.
653		0	_aTravel time (Traffic engineering)
700	1		_aMartínez-Díaz, Margarita. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
830		0	_aSpringer Tracts on Transportation and Traffic, _x2194-8127 ; _v19
856	4	0	_uhttps://doi.org/10.1007/978-3-030-89672-0 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK