LEADER 04731nam 22007095 450 001 9910743359103321 005 20251113203826.0 010 $a981-16-6936-8 010 $a981-16-6935-X 010 $a981-16-6936-8 024 7 $a10.1007/978-981-16-6936-1 035 $a(MiAaPQ)EBC6826332 035 $a(Au-PeEL)EBL6826332 035 $a(CKB)20133868200041 035 $a(OCoLC)1288635415 035 $a(PPN)259388777 035 $a(DE-He213)978-981-16-6936-1 035 $a(EXLCZ)9920133868200041 100 $a20211213d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Infrastructure in Transportation and Management $eProceedings of i-TRAM 2021 /$fedited by Jiten Shah, Shriniwas S. Arkatkar, Pravin Jadhav 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (297 pages) 225 1 $aStudies in Infrastructure and Control,$x2730-6461 311 08$aPrint version: Shah, Jiten Intelligent Infrastructure in Transportation and Management Singapore : Springer Singapore Pte. Limited,c2022 9789811669354 327 $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. 330 $aThis book mainly focuses on the innovations in intelligent transportation infrastructure and management. The content of the book is selected in such a way that it will cover a wide range of areas to integrate advanced technologies and provide best and innovative solution to problems faced by the rapidly growing transportation sector. The topics of the book primarily address the needs of the students in civil, electrical, and mechanical engineering. It is equally useful as reference material for innovators, inventors, practitioners, and policymaker for an innovative and classified solution in the field of transportation and infrastructure management. Looking at the global electric and hybrid vehicles market, the book focuses on and discuss recent developments in electric mobility across the globe. In this edition, we try to feature toward an update on the performance and costs of batteries which is the current demand of the consumers. The book inspires researchers, innovators, industry experts, and policymakers to consider the solutions into the practice. 410 0$aStudies in Infrastructure and Control,$x2730-6461 606 $aTransportation engineering 606 $aTraffic engineering 606 $aArtificial intelligence 606 $aVehicles 606 $aInformation technology$xManagement 606 $aTransportation Technology and Traffic Engineering 606 $aIntelligence Infrastructure 606 $aVehicle Engineering 606 $aBusiness IT Infrastructure 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aArtificial intelligence. 615 0$aVehicles. 615 0$aInformation technology$xManagement. 615 14$aTransportation Technology and Traffic Engineering. 615 24$aIntelligence Infrastructure. 615 24$aVehicle Engineering. 615 24$aBusiness IT Infrastructure. 676 $a388.310285 702 $aShah$b Jiten 702 $aArkatkar$b Shriniwas S. 702 $aJadhav$b Pravin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743359103321 996 $aIntelligent infrastructure in transportation and management$93560437 997 $aUNINA