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.
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.
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.
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