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008			230125s2022 si | s |1|| 0|eng d
020			_a9789811669361
024	7		_a10.1007/978-981-16-6936-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHE147.6 _b2022 EB
245	0	0	_aIntelligent Infrastructure in Transportation and Management : _bProceedings of i-TRAM 2021 _cedited by Jiten Shah, Shriniwas S. Arkatkar, Pravin Jadhav
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 296 páginas) _b155 ilustraciones, 112 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Infrastructure and Control _x2730-6461
505	0		_aData Driven Approach for Modeling the Mixed Traffic Conditions Using Supervised Machine Learning -- Microscopic traffic simulation approach to evaluate driving parameters at influence zone of the intersection -- Calibrating and Validation of Microsimulation Model for Indian Heterogeneous Traffic Flow - A Case Study -- Driver's Risk Compelling Behavior for Crossing Conflict Area at Three-legged Uncontrolled Intersection -- Analysis Of Driver Behaviour In Dilemma Zone At Signalized Intersection Under Mixed Traffic Condition -- Evaluation of Road Side Friction and Its Effect on Reduction of Capacity of Urban Arterial Roads of Some Selected Towns -- Public Transport User's Satisfaction Level in India -- Real-Time Bus Prediction System in City Transport -- Customer's Perception towards Taxi Management in Kathmandu Valley -- Road crash severity ranking by applying A Multi-criteria decision-making tool: Analytical Hierarchy Process (AHP) -- Digital Eye for Visually Impaired - DEVI -- A Review on Strategic Pavement Maintenance with Machine Learning Techniques -- Intelligent Vehicle Module Using Image Processing -- Opportunistic Sensing based Route Demand Assessment and Feeder Bus Scheduling.
520			_aThis book mainly focuses on the innovations in intelligent transportation infrastructure and management. The content of the book is selected in such a way that it will cover a wide range of areas to integrate advanced technologies and provide best and innovative solution to problems faced by the rapidly growing transportation sector. The topics of the book primarily address the needs of the students in civil, electrical, and mechanical engineering. It is equally useful as reference material for innovators, inventors, practitioners, and policymaker for an innovative and classified solution in the field of transportation and infrastructure management. Looking at the global electric and hybrid vehicles market, the book focuses on and discuss recent developments in electric mobility across the globe. In this edition, we try to feature toward an update on the performance and costs of batteries which is the current demand of the consumers. The book inspires researchers, innovators, industry experts, and policymakers to consider the solutions into the practice.
988			_aSpringer_Engineering_2022
650		7	_2embne _9139914 _aTransportes _xInnovaciones tecnológicas _yCongresos y asambleas
776	0	8	_iPrinted edition: _z9789811669354
776	0	8	_iPrinted edition: _z9789811669378
776	0	8	_iPrinted edition: _z9789811669385
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-981-16-6936-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI