Proceedings of the IETE's International Conference on Smart Mobility Systems
Description
This book includes selected papers presented at the First International Conference on Smart Mobility Systems (ICSMS 2025), organized by the Institution of Electronics and Telecommunication Engineers (IETE), India, during April 26-27, 2025. The book covers various topics on AI-based agent for traffic and transportation systems, edge AI and 3D perception on smart mobility, multi-resolution simulation for service and interoperability, collaborative learning in traffic and transportation models, LiDAR in smart communication, intelligent multimodal transportation and logistics efficiency-leveraging advanced technologies to optimize operations, improve sustainability, and enhance user experience, next generation tolling systems using Global Navigation Satellite System (GNSS), and AI-based CCTV monitored surveillance.
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Dr. Jyotsna Kumar Mandal, M. Tech. in Computer Science from University of Calcutta in 1987, awarded Ph.D. (Engineering) in Computer Science and Engineering by Jadavpur University in 2000. He was an associate professor of Computer Science for eight years at North Bengal University and assistant professor of Computer Science at North Bengal University for seven years. He also served as lecturer at NERIST, Itanagar, for one year. He is now Professor in CSE at the University of Kalyani. He has 36 years of teaching and research experience in coding theory, data and network security and authentication, remote sensing and GIS-based applications, data compression, error correction, visual cryptography, and steganography.
Content
Achieving Convergence of Frequency Setting in Transit Assignment using Adaptive Step Size Algorithm.- Number Plate Recognition System: An Overview of Approaches, Difficulties, and Opportunities.- Real-Time Parking Lot Occupancy Monitoring using YOLOv8 with Parking Slot Alignment Transformation Algorithm.- Simulation model for protection of battery management system.- An Efficient Deep Learning Model for Multi-Class Vehicle Classification under Real-time Environment through Visual Features Extraction.- Smart Luggage Lock with Biometric Authentication,GPS Tracking and GSM Alert.- Performance Analysis of Robotic Path Planning Methods in Static Environments.- Real-Time Wrong Way Car and Number Plate Detection, License Text Extraction and API Based Email Alert System Using YOLOv8, OpenCV, EasyOCR, Laravel API, SMTP: A Machine Learning Approach.- Enhancing Transportation Safety through Advanced Technology: The Effectiveness of Emergency SOS Features in Smart Helmets.- Gain And Radiation-Pattern Measurement for Third Iteration of Sierpinski Carpet Fractal Antenna.- Bus Mitra.- Real-Time Aspect Detection of Railway Signals Using YOLOv7 to YOLOv10.- Efficient localization in Wireless Sensor Networks(WSNs) using a Hybrid Metaheuristic Strategy(HGGRKO).- Investigation Of Meandered Line And Slot Loaded Techniques Based Mimo Antenna For 5G (N258) And Satellite Applications.- A Novel Coin -Insertion EV Charging System for Enhanced Accessibility Using Raspberry Pi Pico.- IOT Enabled Unmanned Aerial Vehicle-Based Weeds Detection using Deep Neural Networks.- Walkthrough Analysis of Spoofing in Navigation System.- Intelligent Underwater ROV for Real-Time Crack Detection in Marine Structures.- Sustaining vulnerability through protected mobility via Facenet-TensorRT.- Analysis of Feature Extraction and Classification Performance in Smart Mobility Driven Hand Gesture Art System for Human Computer Interaction.- Streamlining Traffic Flow with Smart Mobility for Vehicles through Reinforcement Learning based Framework.- IoT-Enabled Smart Mobility in Logistics: A Fog Computing Approach to Urban Transport.- Scope of Artificial Intelligence in Aerospace Engineering.- Efficient Equivalent Circuit Modeling of Multiband Antenna for 5G and IoT Applications.- Exploring Generative and Conversational AI in Traveller Information Systems for Enhanced User Engagement.- Analyzing Enhancements in Vehicle Connectivity and Autonomy Using Machine Learning and Deep Learning Approaches.- Enhanced Solar Tracking And Mppt With Integrated Backup Power For Maximum Efficiency.- Intelligent Traffic Light Control System for Roundabouts: A Deep Reinforcement Learning Approach.- Automatic Peak Power Shaving with Bi-Directional Electric Vehicle Controller on Real Time Digital Simulator.- Genetic Algorithm-based Molecular Structure Optimization of Carbon Chains using Lennard-Jones Potential.- Optimized Prophet Routing for Sustainability in Opportunistic Networks.- Non-GPS Based Car Location Tracking System Using Deep Learning and IOT.- Reducing the rate of False Negatives in Genetic Disorder Multiclass Classification using Machine Learning Techniques.