Computational Intelligence for Sustainable Transportation and Mobility

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Title
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End User License Agreement
Contents
Preface
List of Contributors
An Intelligent Vehicular Traffic Flow Prediction Model Using Whale Optimization with Multiple Linear Regression
	Hima Bindu Gogineni1, E. Laxmi Lydia2,* and N. Supriya3
	INTRODUCTION
	THE PROPOSED IVTFP MODEL
		WOA Based Feature Selection Model
			Prey Encircling
			Exploitation Phase
			Exploration Phase
		MLR Based Predictive Model
	PERFORMANCE VALIDATION
		Dataset Description
		Results Analysis
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Intelligent Transportation Systems-based Behavior Characteristics Classification
	B.M.S. Rani1, E. Laxmi Lydia2,* and G. Jose Moses3
	INTRODUCTION
	LITERATURE SURVEY
	PROPOSED METHODOLOGY
		Intelligent Transportation Systems
			Normal Behavior
			Drunk Behavior
			Fatigue Behavior
			Reckless Behavior
		Driver Information and Behavior
		Traveler Information and Network Behavior
		Rule-Based Fuzzy Polynomial Neural Network
	RESULT AND DISCUSSION
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Artificial Immune Systems Imputation-based Traffic Prediction
	M. Vasumathi Devi1, E. Laxmi Lydia2,* and Hima Bindu Gogineni3
	INTRODUCTION
	LITERATURE SURVEY
	PROPOSED METHODOLOGY
		Openflow Based Software-defined Optical Network
		Artificial Immune System
	RESULTS AND DISCUSSION
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICT OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
An Intelligent Transportation System for Traffic Density Estimation and Prediction Using Deep Learning Models
	Irina V. Pustokhina1, Denis A. Pustokhin2, M. Ilayaraja3 and K. Shankar4,*
	INTRODUCTION
	THE PROPOSED MODEL
		CNN Model
		LSTM Model
			Constant Error Carousel (CEC)
			Input Gate
			Output Gate
			Input
			Input Gate
			Forget Gate
			Memory Cell
			Output Gate
			Output
	PERFORMANCE VALIDATION
		Analysis of Density Estimation
		Analysis of Density Prediction
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Fog and Edge Computing-based Intelligent Transport System
	B. Sai Viswanath1,*, P. Sandeep1 and Suresh Chavhan2
	INTRODUCTION
		Fog Computing Overview
			Characteristics of Fog
			Fog Working
		Algorithm I
		Edge Computing Overview
		Characteristics of Edge Computing
			Computing Offloading
			Processing
			Caching
			Data Storage
		Intelligent Transportation System
	RELATED WORKS
	IMPLEMENTING ITS WITH FOG AND EDGE COMPUTING (PROTOTYPE)
		Algorithm – II
		Advantages of the Prototype
	CHALLENGES [16]
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
IoT-based Integration of Sensors with DAQ Systems in Intelligent Transport Systems
	Dhananjay Kumar K.S.1, Prakash Reddy O.1, Sanath Gowtham G.1, Shailaja A. Chougule1 and Suresh Chavhan2
	INTRODUCTION
		Transportation Networks and Intelligent Transportation System
	RELATED WORKS
		Advanced Traffic Management Systems
		Advance Parking Management Systems
		Advance Lane Management System
	METHODOLOGY
		Sensors
		DAQ Systems
		Big Data Analytics
		Cloud Computing
	FUTURE WORKS
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Solar-based Electric Vehicle Charging Infrastructure with Grid Integration and Transient Overvoltage Protection
	Bibaswan Bose1,*, Vijay Kumar Tayal1 and Bedatri Moulik1
	INTRODUCTION
	MATHEMATICAL MODELING
		Solar PV Array
		Boost Converter
		Battery
		Supercapacitor
		Three-phase AC Inverter
		Three-phase Induction Motor
		IEEE 5 Bus System
		PID Controller
	SYSTEM ARCHITECTURE
		Modes of Operation
	SIMULATION RESULTS
		Three-phase Induction Motor (IM) Load
		IEEE 5 Bus system Load
		Transient Overvoltage Protection
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Industry 4.0: Hyperloop Transportation System in India
	Pranjal Kapur1,* and Suresh Chavhan2
	INTRODUCTION
		Capsule
		Tube
		Propulsion
		Route
	DETAILED VIEW OF THE HYPERLOOP PASSENGER CAPSULE
	HOW DOES THE HYPERLOOP TRANSPORTATION SYSTEM WORK?
	COST ANALYSIS OF HYPERLOOP TRANSPORTATION SYSTEM IN INDIA
	SAFETY AND RELIABILITY OF THE HYPERLOOP TRANSPORTATION SYSTEM
		Onboard Passenger Emergency
		Power Outage
		Capsule Depressurization
		Earthquakes
	COMMUNICATION TECHNOLOGIES FOR HYPERLOOP
	RENEWABILITY OF THE HYPERLOOP TRANSPORTATION SYSTEM
	COMPARISON BETWEEN DIFFERENT MODES OF PUBLIC TRANSPORTATION
	FUTURE PLANS FOR HYPERLOOP TRANSPORTATION SYSTEM IN INDIA
	RELATED WORKS
	CONCLUSION
	CONSENT FOR PUBLICATION
	CONFLICTS OF INTEREST
	ACKNOWLEDGEMENTS
	REFERENCES
Subject Index
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