國立虎尾科技大學 |

Intelligent Infrastructure in Transportation and Management = Proceedings of i-TRAM 2021 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Infrastructure in Transportation and Management/ edited by Jiten Shah, Shriniwas S. Arkatkar, Pravin Jadhav.
Reminder of title:	Proceedings of i-TRAM 2021 /
other author:	Shah, Jiten.
Description:	XV, 296 p. 155 illus., 112 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Transportation engineering. -
Online resource:	https://doi.org/10.1007/978-981-16-6936-1
ISBN:	9789811669361

Intelligent Infrastructure in Transportation and Management = Proceedings of i-TRAM 2021 /
Intelligent Infrastructure in Transportation and ManagementProceedings of i-TRAM 2021 /[electronic resource] :edited by Jiten Shah, Shriniwas S. Arkatkar, Pravin Jadhav. - 1st ed. 2022. - XV, 296 p. 155 illus., 112 illus. in color.online resource. - Studies in Infrastructure and Control,2730-6461. - Studies in Infrastructure and Control,.

Data 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.

This 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.

ISBN: 9789811669361

Standard No.: 10.1007/978-981-16-6936-1doiSubjects--Topical Terms:

633205
Transportation engineering.

LC Class. No.: TA1001-1280

Dewey Class. No.: 629.04

Intelligent Infrastructure in Transportation and Management = Proceedings of i-TRAM 2021 /
LDR:03774nam a22004215i 4500 001 1091761
003 DE-He213
005 20220502105547.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811669361 $9 978-981-16-6936-1
024 7 $a 10.1007/978-981-16-6936-1 $2 doi
035 $a 978-981-16-6936-1
050 4 $a TA1001-1280
050 4 $a HE331-380
072 7 $a TNH $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TNH $2 thema
082 0 4 $a 629.04 $2 23
245 1 0 $a Intelligent Infrastructure in Transportation and Management $h [electronic resource] : $b Proceedings of i-TRAM 2021 / $c edited by Jiten Shah, Shriniwas S. Arkatkar, Pravin Jadhav.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XV, 296 p. 155 illus., 112 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Infrastructure and Control, $x 2730-6461
505 0 $a Data 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 $a This 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.
650 0 $a Transportation engineering. $3 633205
650 0 $a Traffic engineering. $3 639529
650 0 $a Artificial intelligence. $3 559380
650 0 $a Vehicles. $3 721652
650 0 $a Information technology—Management. $3 1365950
650 1 4 $a Transportation Technology and Traffic Engineering. $3 1069531
650 2 4 $a Intelligence Infrastructure. $3 1389245
650 2 4 $a Vehicle Engineering. $3 1366163
650 2 4 $a Business IT Infrastructure. $3 1070169
700 1 $a Shah, Jiten. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302381
700 1 $a Arkatkar, Shriniwas S. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1321785
700 1 $a Jadhav, Pravin. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1399392
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811669354
776 0 8 $i Printed edition: $z 9789811669378
776 0 8 $i Printed edition: $z 9789811669385
830 0 $a Studies in Infrastructure and Control, $x 2730-6461 $3 1359154
856 4 0 $u https://doi.org/10.1007/978-981-16-6936-1
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)