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008			220625s2022 gw a o |||| 0|eng d
020			_a9783658383459
024	7		_a10.1007/978-3-658-38345-9 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTE228.3 I584 _b2022 EB
100	1		_aJohora, Fatema Tuj _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685751
245	1	0	_aModeling Interactions among Pedestrians and Cars in Shared Spaces _cby Fatema Tuj Johora
250			_a1st edition 2022
264		1	_aWiesbaden _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXI, 174 páginas) _b80 ilustraciones
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_a1 Introduction -- 2 Background and Preliminaries -- 3 The State of the Art -- 4 GSFM: The Game-Theoretic Social Force Model -- 5 Data Sets and Evaluation Metrics -- 6 Calibration Methodology -- 7 Evaluation -- 8 Towards Combining Expert- and DL-based Models -- 9 Conclusions and Perspectives.
520			_aIn this book, a novel agent-based, realistic, and general motion model of pedestrians and (human-driven) vehicles is proposed. It can capture a large variety of interactions and be utilized to assess the applicability of different shared space schemes and in the advent of autonomous vehicles. Sustainable urban traffic and transport is a key to successful future development of our society. Urban traffic is predicted to increase further, and the lack of traffic space makes it undesirable to maintain today's strict separation of different modalities. Shared space design principles promote a flexible use of traffic infrastructure by enabling different traffic modalities to share the same space with few or no explicit regulations. Simulation technologies are becoming an essential tool for traffic planners and managers to analyze future urban areas before new concepts and technologies are applied on the road. The proposed simulation model can suitably replicate the motion behaviors of pedestrians and vehicles from new environments with incremental integration of new behaviors and calibrating model parameters. About the Author Fatema Tuj Johora received her Ph.D. in Informatics, in 2021, from Clausthal University of Technology, Germany. She is currently a postdoctoral researcher at the Department of Informatics at Clausthal University of Technology. Her research interests cover game theory, agent-based modeling, and machine learning in the area of intelligent transport system and autonomous driving.
988			_aSpringer_Engineering_2022
650		7	_2embne _9405815 _aSistemas inteligentes de transporte
650		7	_2embne _9138672 _aMétodos de simulación
776	0	8	_iPrinted edition: _z9783658383442
776	0	8	_iPrinted edition: _z9783658383466
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-38345-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eb _zSI