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008			220625s2022 gw | s |||| 0|eng d
020			_a9783658383459
024	7		_a10.1007/978-3-658-38345-9 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aHE353
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072		7	_aTEC009020 _2bisacsh
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090			_aHE353EBK
100	1		_aJohora, Fatema Tuj. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aModeling Interactions among Pedestrians and Cars in Shared Spaces _h[electronic resource] / _cby Fatema Tuj Johora.
250			_a1st ed. 2022.
264		1	_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aTransportation engineering.
650		0	_aTraffic engineering.
650	1	4	_aTransportation Technology and Traffic Engineering.
653		0	_aCity traffic
653		0	_aTraffic flow
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-658-38345-9 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK