Advanced Transportation Systems in the Field of Engineering and Technology
CRC Press
1st Edition
Will be published approx. on 30. November 2026
Book
Hardback
640 pages
978-1-041-36789-5 (ISBN)
Description
This book explores the latest advancements in transportation systems through the lens of engineering and technology. It covers innovative solutions that enhance the safety, efficiency, sustainability, and connectivity of modern transportation networks. From intelligent transportation systems and autonomous vehicles to smart infrastructure and high-speed rail, this book offers a comprehensive overview of the technologies shaping the future of mobility worldwide.
The book delves into key areas such as Intelligent Transportation Systems (ITS), autonomous and connected vehicles, electric and alternative fuel technologies, and smart infrastructure. It examines how these innovations contribute to reducing traffic congestion, enhancing road safety, and minimizing environmental impact. Detailed chapters discuss the integration of IoT and AI for real-time data analysis and predictive maintenance, as well as the development of high-speed rail and maglev systems for efficient long-distance travel. Case studies highlight successful implementations worldwide, demonstrating tangible benefits like improved traffic flow, lower emissions, and increased accessibility. The book also addresses challenges including cybersecurity, regulatory frameworks, and infrastructure investment, offering insights into overcoming these barriers to enable widespread adoption of advanced transportation technologies.
This book is designed for engineers, researchers, policymakers, and technology professionals involved in transportation and infrastructure development.
The book delves into key areas such as Intelligent Transportation Systems (ITS), autonomous and connected vehicles, electric and alternative fuel technologies, and smart infrastructure. It examines how these innovations contribute to reducing traffic congestion, enhancing road safety, and minimizing environmental impact. Detailed chapters discuss the integration of IoT and AI for real-time data analysis and predictive maintenance, as well as the development of high-speed rail and maglev systems for efficient long-distance travel. Case studies highlight successful implementations worldwide, demonstrating tangible benefits like improved traffic flow, lower emissions, and increased accessibility. The book also addresses challenges including cybersecurity, regulatory frameworks, and infrastructure investment, offering insights into overcoming these barriers to enable widespread adoption of advanced transportation technologies.
This book is designed for engineers, researchers, policymakers, and technology professionals involved in transportation and infrastructure development.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and General
Dimensions
Height: 280 mm
Width: 210 mm
ISBN-13
978-1-041-36789-5 (9781041367895)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
S. Kannadhasan works as an Associate Professor and HoD in the Department of Electronics and Communication Engineering at Study World College of Engineering, Coimbatore, Tamil Nadu, India. He completed his Ph.D. in the field of smart antennas at Anna University in 2022. He has thirteen years of teaching and research experience. He obtained his B.E. in ECE from Sethu Institute of Technology, Kariapatti, in 2009 and his M.E. in Communication Systems from Velammal College of Engineering and Technology, Madurai, in 2013. He obtained his M.B.A. in Human Resources Management from Tamil Nadu Open University, Chennai.
P. Sivakumar is currently serving as a Professor in the Department of Computer Science and Engineering at Al-Ameen Engineering College. He holds a Ph.D. in Web Mining from Anna University, awarded in 2013. With over fifteen years of experience in teaching and research, Dr. Sivakumar has contributed extensively to the academic community. He earned his B.E. in Information Technology from Sri Ramakrishna Engineering College, Coimbatore, in 2004, followed by an M.E. in Computer Science and Engineering from Annai Mathammal Sheela Engineering College, Namakkal, in 2007.
Anegagregn Gashaw Ferede is an Associate Professor of Teaching English as a Foreign Language at Debre Tabor University, Ethiopia. His research focuses on English pronunciation instruction, second language acquisition, and the influence of learners' first language-particularly Amharic-on English language learning. Dr. Gashaw's work contributes to addressing pronunciation challenges faced by Ethiopian EFL learners, with emphasis on both segmental and suprasegmental features of English.
Abraham Melkie Tedesse is an academic administrator and scholar currently serving as the Director of International Relations at Debre Tabor University (DTU), Ethiopia. In this role, he is responsible for coordinating global partnerships, international collaborations, academic exchange programs, and institutional cooperation with universities and research organizations worldwide.
P. Sivakumar is currently serving as a Professor in the Department of Computer Science and Engineering at Al-Ameen Engineering College. He holds a Ph.D. in Web Mining from Anna University, awarded in 2013. With over fifteen years of experience in teaching and research, Dr. Sivakumar has contributed extensively to the academic community. He earned his B.E. in Information Technology from Sri Ramakrishna Engineering College, Coimbatore, in 2004, followed by an M.E. in Computer Science and Engineering from Annai Mathammal Sheela Engineering College, Namakkal, in 2007.
Anegagregn Gashaw Ferede is an Associate Professor of Teaching English as a Foreign Language at Debre Tabor University, Ethiopia. His research focuses on English pronunciation instruction, second language acquisition, and the influence of learners' first language-particularly Amharic-on English language learning. Dr. Gashaw's work contributes to addressing pronunciation challenges faced by Ethiopian EFL learners, with emphasis on both segmental and suprasegmental features of English.
Abraham Melkie Tedesse is an academic administrator and scholar currently serving as the Director of International Relations at Debre Tabor University (DTU), Ethiopia. In this role, he is responsible for coordinating global partnerships, international collaborations, academic exchange programs, and institutional cooperation with universities and research organizations worldwide.
Content
Artificial Intelligence and Machine Learning A sensor-driven approach for monitoring breathing conditions across age groups A Spark Based Big Data Analytics Framework for Competitive Intelligence A Virtual Reality First-Aid Platform with Zero-Trust and Decentralized Authentication Model Adaptive Machine Learning Models for Sentiment Analysis in Varied Contexts AI and Big Data Synergy: Redefining Coffee Commodity Trading for the Future Precision and Profitability AI Techniques in Solar Power Forecasting and Smart Grid Management An Internet of Things Device with an area Efficient Nano AES Implementation Ankorstore: Navigating Market Changes in Online Retail Through Predictive Modeling and Advanced Technology Beyond Clicks: Real-Time Hand Gestures as a Replacement for Traditional Mouse Interaction Bio-Cipher: Ai And Blockchain Enhanced biometric Intrusion Prevention for secure data access Blockchain-Powered Decentralized Identity Sharing: Revolutionizing Secure KYC Processes for Privacy and Trust Clinical Engineering Breakthroughs Revolutionizing Medical Treatment with Intelligent Technological Solutions Cloud Adoption in Small Businesses: Case studies on challenges and benefits faced by Small and Medium Enterprise Cloud-Based Forest Fire Detection and Monitoring System Using Deep Learning and Satellite Imagery Cognitive-Driven Content-Aware Cloud Framework for Intelligent E-Waste Management Credit Card Transaction Anomalies Using ML Driver Assistance System for Real-Time Road Hazards Detection Using Deep Learning Emotion recognition using Machine Learning: A comparitive study of Techniques and applications Enhanced Acoustic Distress Detection and Automated Emergency Alert System Feature Selection Analysis Using Quantum Machine Learning Health Care Diagnosis Prediction in Real Time Using Random Forest Technique in Cloud Computing Identifying Malicious Website Detection Using LSTM with Firefly Algorithm Industrial IOT and Smart Manufacturing using Machine Learning Influence of AI on consumer purchase behaviour of FMCG sector InnovAIte: AI-Powered Content Creation Platform Integrating Cosine Similarity and Item-Based Collaborative Filter-ing for Movie Recommendations Mentify: An Emotion-Aware Music Recommendation System Multilingual Image Captioning Using BLIP and Marian MT Models through a Gradio Interface Natural Language Processing for Decision Support and Legal Document Analysis Optimizing Cyber Supply Chain Security with Advanced Threat Prediction Analytics Parkinson's Disease Detection using MVSAE and hybrid neural networks Prediction of Chronic Kidney Disease using Machine Learning Prediction of Monkeypox Disease & Severity of the Disease using Machine Learning Algorithms Quantitative Predictive Analytics for Credit Risk Assessment Real-Time Object Detection and Audio Translation using Hybrid Deep Learning Model Safe Link: Identifying Malicious URLs Through NLP-Based Evaluation Smart Assistant: Handwritten Digit Recognition Powered by AI Smart Traffic Optimization IOT based System using RFID Spatio-Temporal Study of Major Air Pollutants in Two Urban Centers of Uttarakhand Strategic Evolution of Quantum Communication Leveraging Non-Local Topological Robustness and Dynamic Protocols Cybersecurity and Quantum Technologies A Deep Learning Framework for Pancreatic Disease Prediction Using CNN A Hybrid Quantum-Heuristic Feature Selection Approach Using Grover's Algorithm, PSO and ACO AI Research Assistant for Complex Topics AI with Empathy: Understanding Human Emotions Through Multimodal Emotion Recognition AI-Based Multi-Class Cyber Attack Detection Using XGBoost on UNSW-NB15 Dataset An AI Powered Communication Platform for Facilitating Interaction Between Deaf and Hearing Individuals Analyzing Historical Data to Predict Stock Prices Automated Scoliosis Assessment from Spine X-rays Using Generative Adversarial Networks (GAN'S) Automatic Medicinal Plant Identification and Combination Benefits Analysis Using ResNet-CNN Autonomous Industrial Wastewater Detection Using IoT Autonomous System in Robotics Using Fog Cloud Computing and Iot Integration Car Rental System using MySQL and PHP Carbon Footprint Estimation for Enterprises Child Emotion Detection System Using NLP and CNN Technologies Cloud Security Enhancements and Effective Strategies for DDoS Detection CodeBert Sentinel: AI Powered Security File Analyzer for Enhanced Vulnerability Detection Data-Driven Model for Real-Time Heart Disease Risk Prediction and Lifestyle Guidance Deep CNN-Based EEG Signal Analysis for Early Detection of Alzheimer's Disease Deep Learning Techniques for Financial Forecasting and Fraud Detection Design and Development of Solar System Powered by Peltier Modules for Sustainable and Controlled Drying Dynamic Time Warping (DTW) for Automatic Speech Recognition (ASR) in Signal Processing Ethical Implications of Artificial Intelligence in Surveillance and Privacy Protection Exploring the Effectiveness of YOLOv8 in Object Intrusion Detection Systems: A Survey of Techniques and Applications Finanzen: AI-Powered Personal Finance Management Platform for Smart Budgeting and Expense Optimization IoT Based Security System with Voice Messages Learnverse Building the Future of Programmers Through Structured Learning and Smart Roadmaps Leveraging Blockchain Technology to Secure Healthcare Data Management: A Decentralized Approach Using Ethereum, IPFS, and Smart Contracts Metastases Brain Cancer Prediction Using Deep Learning Algorithms Opportunities and Challenges through Virtual Court in India Predicting the Early Development of Cardiovascular Disease Using an Ensembled Framework Model Based on Deep Learning Techniques Prediction and Analysis of Cyclone Intensity Using Deep Learning and Synthetic Data Simulation Robust and Efficient Implementation of BSCAN and MBIST for Next-Generation SoCs in Lower Technology Nodes Scholar's Perception towards the Usage of Artificial Intelligence in Education: An Empirical Study Smart Farming System Using IoT for Precision Agriculture and Sustainable Practices Speech Emotion Recognition by Using Deep Learning Techniques The Synergistic Integration of AI, IoT, and Blockchain for Intelligent and Sustainable Supply Chain Management - A Comprehensive Review Transformer-Based Depression Detection: A Distilled Approach for Analyzing Textual Data to Uncover Mental Health Insights Uncertainity Analysis of Solar Operated Automated Shield Technology for Enhanced Grain Preservation Unified Web App Prescreening Tool for Cancer Prediction Using Convolutional Neural Networks Healthcare and Biomedical Applications A Manually Annotated Dataset of Transverse Cirrus Bands for Object Detection in Satellite Imagery A New Hybrid Process for Data Communication and Device Controlling using Power Line Carrier Communication Advanced Feature Selection and Classification Techniques for Breast Cancer Diagnosis: A Genetic Algorithm and Machine Learning Approach An Smort Based CNN Transformers Model for Prediction Of Chronic Kidney Disease Applications and Evaluation of Machine Learning Techniques in Sports Analytics: A Review of Predictive Models and Challenges in Team Sports Artificial Intelligence for Climate Change: Predictive Models for Environmental Monitoring Artificial Intelligence Misuse: A Strategic Overview of Criminal Application and Threats Automated Subjective Answer Evaluation using RNN and NLP ConvoWave: An AI-Powered Platform for Real-Time Multilingual Voice-Based Social Interaction Cyber-crime prediction and real time detection using machine learning Decoding the Dynamics of Organizational Culture: Its Influence on Employee Commitment in Higher Education Institutions of Haryana Design of Fuzzy Logic Based Embedded Systems by Used for Food Processing Developing A Multi Stage Deep Learning Framework for Predicting Crop Yield Under Environmental Conditions Early Detection of Pancreatic Diseases Using A Hybrid Intelligence Framework. Enhancing Educational Outcomes: A Predictive Analysis for Student Performance Enhancing Hate Speech Detection in Text and Emojis Using Transformers for Social Media Enhancing Medical Diagnosis Through Explainable Artificial Intelligence (XAI) Enhancing Network Security with Dynamic Port Scanning Food Donation and Redistribution System using Database Health Records Management System: A Chatbot-Integrated Smart Solution for Hospitals Hybrid Wavelet-Ica (Hwt-Ica) For Eeg Artifact Removal Image to Image Translation Using Conditional Generative Adversarial Networks Implementation of Site Safety Measures, QA/QC Standards, PT Slab Technology, and BIM Integration in High-Rise Building Construction Improved Brain Segmentation: A Deep Learning Approach for Medical Imaging Innovative Blockchain Election Platform Providing Anonymous, Immutable, Decentralized, and Tamper-Proof Voting for Democratic Societies Integrating Fundamental, Sentiment, and Technical Analysis Using Machine Learning for Enhanced Stock Price Prediction Integrating Image Classification for Breast Cancer Detection Using Deep Learning LLM-Augmented Operations for Dynamic Supply Chain Planning with Multi-Agent Feedback Optimization MobileNet Neural Network skin disease detector with Raspberry pi Integrated to Telegram Optimized Hybrid Deep Learning Ensemble for Advanced Classification and Detection of Diabetic Foot Ulcers Outlook on Stock Market Movements using Deep Learning Algorithms Reinforcement Learning for Game Playing SmartBank: An Integrated Web Solution for Account and Transaction Management Strengthening Mental Wellness Through Strategic Support and Personal Evaluation Sustainable EV Charging Station Solar-Powered Wireless Charging with Tesla Coil Technology Trust Transfer: ML-Driven Security for Financial Data Integrity and Compliance Understanding the Elderly Experience: Multidimensional Predictors of Well-Being in Later Life UPI Fraud Detection Using Machine Learning Voice-Enabled Email Assistant with Yolo-Based Facial Recognition for Secure Communication IoT and Smart Systems A Deep Learning-Based CNN Model for Tiny Product Defect Detection: A Novel Approach for Enhanced Quality Control A Study on Exploring the Role of AI in Strengthening Employee Engagement and Retention Strategies A Web-Based Multi-Modal System for Food Freshness Classification Using EfficientNet-B0 AI driven approach to improve cybersecurity in financial transactions AI-Powered Course Recommendation Engine and Teaching Strategies Using Deep Learning for skill Development AI-Powered Personalized Learning Systems: Using Adaptive Technologies to Transform Education AI's Place in Smart Cities: Improving Traffic Control and Urban Planning Android Based Mobile Application for Identification of Impersonation in Exams Blockchain Technology for E-Health: A Catalyst for Transparent Medical Data Sharing Brain Tumor Segmentation and Classification Using U-Net and Yolov8 CineMusic: Generating Contextual Background Scores from Scene Descriptions Using Neuro-Symbolic AI and Graph Neural Networks Cloud Based Intrusion Detection approach using Machine Learning Techniques Cloud based secure online examination environment: A comprehensive analysis Cognitive AI for Enhancing Human Machine Collaboration Construction of Reformed Erudition Automata (REA) based on Neural Network Conversational Video Recognition Chatbot Using Deep Learning Deep Fake Detection using Deep Learning Techniques Design and optimization of routing protocols in VANET Addressing Overhead Reduction and Transmission Quality Efficient Design of a 16-bit High-Speed Multiplier Using Vedic Mathematics and Knowles Adder Architecture EZ KYC: Decentralized Identity Verification Fake News Detection Using Truth Detector: A Rule-Based and Explainable AI Approach Food Recognition System for Automated Calorie Tracking and Nutrition Monitoring Guarding the open seas: Autonomous Detection of AIS Signal Evasion using Self -Supervised Learning Human-AI Collaboration in Creative Arts: A Study on Co-Creation and Artistic Expression Hybrid Deep Learning Model for Context-Aware Password Cracking Using LSTM and Fine-Tuned Transformer Networks Hybrid Neuro-Fuzzy Model (HNFM) for EEG-Based Seizure Detection Innovative Approaches for Enhancing Cloud Security by Leveraging Blockchain Technology in Cloud Computing Integrating AI and IoT for Predictive Maintenance in Smart Manufacturing through Digital Transformation Integrating Behavioral Infrastructural and Economic Models for Predicting Digital Technology Adoption Among Street Vendors in Urban India IoT Sensor-Based Energy Management and Control Technique Operational Optimization for Energy Efficiency in Smart Grid Application Using Machine Learning Overcoming Key Challenges in Behavioral Biometric Authentica-tion: A Privacy-Preserving and Attack-Resilient Framework for Re-al-World Applications Predicting Alzheimer Disease Using GIN Privacy-Preserving Blockchain Transactions: The Role of Secure Multi-Party Computation (sMPC) Revolutionizing Finance: Machine Learning Approaches for Tracking and Forecasting SecureChat Web: Enhancing Private Messaging with Emoji-Based Obfuscation Secured Monitoring of Drug Environmental Parameters using Pharmaceutical Cold Supply Chain Slope Stability Analysis of Geo-synthetic Reinforced Embankments using PlAXIS Validation of the Smart Hand Coordination Exercise Equipment for Special Children