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Books in Transportation

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    • Integrating Activity-Based Models with Mobile Phone Data

      • 1st Edition
      • May 1, 2026
      • Fei Yang + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 9 0 4 4 6
      • eBook
        9 7 8 0 4 4 3 4 9 0 4 5 3
      Integrating Activity-Based Models with Mobile Phone Data analyses the path from the observation to prediction using traffic big data. It explores the refined identification method of individual travel chains in the diversified and complex urban travel environment. The book reconstructs the structure and algorithms of Activity-based Models or ABM based on the characteristics identified by mobile phone signalling data. Finally, the book develops an activity decision-making and microscopic behavior simulation platform. The objective of the book is to support urban and regional traffic management optimization and traffic planning using traffic big data.

    • Digital Transformation in Retail Supply Chain Management for Logistics 5.0

      • 1st Edition
      • April 1, 2026
      • Adnan Ahmed Sheikh + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 9 4 3
      • eBook
        9 7 8 0 4 4 3 3 0 0 9 5 0
      Digital Transformation in Retail Supply Chain Management for Logistics 5.0 explains how these technologies are reshaping retail supply chain management. The book elucidates on the digital tools and strategies organizations can employ to optimize their retail supply chain management, minimize costs, enhance customer satisfaction, and achieve sustainability objectives through industry 5.0-enabled technologies. It innovatively blends the details of recent advancements across retail supply chains and supply chain-related digital transformations. Its cutting-edge perspective makes it an invaluable asset for industry professionals, policymakers, business owners, managers, researchers, practitioners, academicians, instructors, and students in retail, logistics supply chain management, digital business, and innovation.The book explores the nuances of the Supply Network 5.0, discussing the synergy between humans and machines, especially in the context of robotic process automation systems and artificial intelligence tools in the “new normal” of retail supply chain management. In addition, it specifically addresses textile products, FMCG, online products, construction, food and beverages, the shoe industry, SMEs, and other manufacturing sectors. Other sections delves into the often-overlooked environmental sustainability ramifications of the Fifth Industrial Revolution.

    • Measuring Transportation Network Performance

      • 1st Edition
      • April 1, 2026
      • Mahdi Amiripour
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 2 3 3 6
      • eBook
        9 7 8 0 4 4 3 3 0 2 3 4 3
      Measuring Transportation Network Performance: Analysis and Practice is a comprehensive guide for defining and constructing performance measures for transportation networks. It introduces the technical requirements necessary for establishing a successful transportation network performance measurement system, enabling transportation professionals to define, analyze, and interpret changes in the transportation network more effectively. It employs practical examples to highlight challenges encountered in network performance monitoring and to point out common errors and ultimately enhance their comprehension of the network. Transportation science is undergoing significant transformations with the integration of big data into various aspects of the field. Network performance measures are crucial for a comprehensive understanding of transportation networks, and they can be significantly enhanced with big data. Incorporating big data allows engineers to analyze transportation networks with greater precision, enabling decision-makers to make more informed choices. This book is specifically designed to aid professionals in the development, analysis, and interpretation of transportation network performance measures by presenting and explaining the most significant performance measures across various modes of transport. Readers from a range of backgrounds—from transportation planners and engineers in the industry sector, to people in transport departments and consultancies that provide professional services to the public sector—will find this a valuable resource for gaining the confidence to use transportation data to narrate stories about what has happened within the transport network, bridging the gap between data and storytelling for efficient problem solving.

    • Autonomous Driving and Traffic Dynamics in Road Transportation

      • 1st Edition
      • April 1, 2026
      • Michail Makridis + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 9 2 3
      • eBook
        9 7 8 0 4 4 3 3 3 1 9 3 0
      Autonomous Driving and Traffic Dynamics in Road Transportation: Modeling, Simulation, and Control discusses the introduction of autonomous vehicles (AV) on road transport systems and the similarities and differences with human drivers, focusing on key concepts in traffic dynamics and AI-based modeling. Simply treating AVs as conventional vehicles with slightly altered characteristics can lead to inaccurate conclusions, posing risks for researchers, engineers, and policymakers alike. This book addresses these challenges by offering a comprehensive discussion of the unique dynamics introduced by AVs and their impact on congestion, safety, energy, and their role in sustainable future intelligent transportation systems. Part I delves into traditional driving behaviors, examining the basics of car-following, driver characteristics, lateral movement, and how well AI models generalize these behaviors. Part II shifts to autonomous driving systems, analyzing their operational principles and providing comparative evidence with human drivers. Additionally, it assesses the performance of traditional car-following models against artificial intelligence developments highlighting strengths and weaknesses for each approach. Part III integrates human drivers and AVs into broader traffic flow theories, presenting findings on how autonomous driving impacts traffic patterns. It studies the impact from the perspective of traffic dynamics, energy efficiency and safety. Part IV looks at the role of AI and modeling, exploring the pros and cons of various methods and data sources. It emphasizes the need for physics-informed models to improve policy decisions and technical performance. Part V discusses real-world traffic management applications, combining AI and traditional models for traffic estimation, control, and ensuring fair, disruption-resilient outcomes. The book serves as a detailed guide for researchers, engineers, and policymakers who need to understand why there is a need to pay attention on the driving style of autonomous vehicles, where we should use analytical models and where data-driven approaches (or physics-informed ones), see the big picture, and learn about the state of the art in traffic state estimation and traffic management domains with the presence of autonomous vehicles.

    • Securing Electric Mobility

      • 1st Edition
      • March 1, 2026
      • Aparna Kumari
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 9 2 3 3
      • eBook
        9 7 8 0 4 4 3 3 3 9 2 4 0
      Electric vehicles (EVs) continue to capture a growing share of the smart car market across the globe. Like most new technologies, e-mobility comes with a learning curve. Securing Electric Mobility provides readers with in-demand knowledge relating to the dynamically evolving intersection between information & communication technology and vehicle engineering.The edited volume offers in-depth understanding of the distinct features of EV cybersecurity. It opens with a description of the fundamental elements of EVs, their interconnectedness, their cyber-physical characteristics and resulting vulnerabilities. It then dissects the digital threat landscape to increase awareness of all possible risks posed by cyberattacks on electric vehicles, and from there it systematically covers data management, regulatory frameworks, existing solutions and emerging cybersecurity protocols and methodologies that are enhanced by blockchain, artificial intelligence, Internet-of-Things integration, machine learning, and real-time monitoring systems. The value of this thorough overview is strengthened further through the inclusion of real-word case studies, which prove the effectiveness of the adopted approaches to safeguard vehicle control systems, owners’ personal data, and the broader cyber-physical network and related equipment.This book proves to be a cardinal, state-of-the-art resource for academia and industry alike as it encourages further transformative, interdisciplinary investigations into the security-assurance complexities that guide EVs’ resilience evolution.

    • Reinventing Transit for the 21st Century

      • 1st Edition
      • March 1, 2026
      • Baruch Feigenbaum
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 6 9 0 3
      • eBook
        9 7 8 0 4 4 3 2 7 6 9 1 0
      Reinventing Transit for the 21st Century addresses the critical state of urban transit systems in the U.S., exacerbated by declining ridership and looming fiscal challenges post-COVID. The book advocates for substantial reforms, including transitioning to contracted services, fostering competition, and redesigning transit boards to emphasize expertise over politics. It also calls for integrating various service modes and adopting new technologies to reduce costs and enhance the rider experience.Spanning 10 chapters, the book begins with an overview of current transit systems and the factors behind their decline. It outlines a vision for modern transit, focusing on customer needs, service redesign, complementary services like bike-sharing, funding mechanisms, and international lessons on contracting. Governance improvements and the role of technology are also discussed, with a concluding chapter presenting a model 21st-century transit system.Accessible to political leaders, transit executives, researchers, planners, and riders, the book includes a glossary for clarity. It emphasizes the importance of serving transit-dependent riders, often from lower-income Communities of Color, to boost ridership and provide essential services. This book is essential for anyone invested in the future of urban transit.

    • Traffic Flow Theory

      • 2nd Edition
      • January 30, 2026
      • Daiheng Ni
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 5 7 4
      • eBook
        9 7 8 0 4 4 3 3 3 7 5 8 1
      Creating traffic models is a complex task due to the intricacies of road networks, space–time dependencies, heterogeneous traffic patterns, and numerous interacting components. The second edition of Traffic Flow Theory builds on foundational knowledge to express these elements in mathematical form and offers updated coverage of the latest field developments.Authore... by a leading academic, the volume dissects everyday traffic phenomena, detailing their characteristics, mechanisms, and dynamics through multi-level modeling approaches (macroscopic, microscopic, mesoscopic, and picoscopic) to explain why these phenomena occur and how they can be effectively simulated. The book then explores the practical applications of these simulations and contributes new, research-informed evidence showing that integrating the various analytical frameworks leads to a unified perspective—with significant benefits for optimizing safety and efficiency in transportation systems.With its comprehensive, coherent, and self-contained treatment, Traffic Flow Theory 2E is set to become a staple reference for a broad transportation engineering audience and a valuable resource for readers in interconnected disciplines.

    • Mobility Patterns, Big Data and Transport Analytics

      • 2nd Edition
      • January 1, 2026
      • Constantinos Antoniou + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 7 8 9 5
      • eBook
        9 7 8 0 4 4 3 2 6 7 9 0 1
      Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns—a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning).Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

    • Logistics Transportation Systems

      • 2nd Edition
      • December 1, 2025
      • MD Sarder
      • English
      • Paperback
        9 7 8 0 4 4 3 4 3 9 1 6 2
      • eBook
        9 7 8 0 4 4 3 4 3 9 1 7 9
      Logistics Transportation Systems, Second Edition brings together multiple topics on transportation logistics systems from both qualitative and quantitative perspectives, providing detailed examples of real-world logistics workflows. It explores the key concepts and problem-solving techniques required by researchers and logistics professionals to effectively manage the continued expansion of logistics transportation systems, which is expected to reach an estimated 25 billion tons in the United States alone by 2045. In addition to updating existing content, it also discusses new topics in contemporary fields, including supply chain resiliency, reshoring, and visibility, reflecting the latest market changes and technological advancements.This book provides an ample understanding of logistics transportation systems, including basic concepts, in-depth modeling analysis, and network analysis for researchers and practitioners. In addition, it covers policy issues related to transportation logistics, such as security, rules and regulations, and emerging issues including reshoring. This thoroughly updated new edition also features two new chapters on supply chain resiliency and strategic sourcing and supplier selection.This book is an ideal guide for academic researchers and both undergraduate and graduate students in transportation modeling, supply chains, planning, and systems. It is also useful to transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems, logistics, and infrastructure.

    • Air Transport: A Computer Science Perspective

      • 1st Edition
      • October 31, 2025
      • Sebastian Wandelt + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 1 5 0 8
      • eBook
        9 7 8 0 4 4 3 4 5 1 5 1 5
      Air Transport: A Computer Science Perspective thoroughly examines the integration of computer science principles in the field of air transportation. Bridging the gap between theory and real-world applications, it delves into automation, complex problem-solving, and cutting-edge technology in aviation. Authored by a seasoned team of a computer scientist and an airspace engineer, it offers a unique blend of expertise that highlights practical applications of algorithms, data structures, and optimization techniques essential for enhancing flight operations and enabling autonomous systems. Readers will gain insights into the latest regulatory frameworks, ensuring they are well-equipped to navigate the evolving air transport landscape.Structured in five parts, the book begins with foundational concepts such as computational complexity and intelligence. It then delves into critical aspects of airline operations, including network design, flight scheduling, fleet assignment, and aircraft routing. The exploration continues with airport operations, focusing on gate assignment, ground vehicle allocation, and delay prediction. In the realm of air traffic flow management, readers will discover trajectory optimization, airspace sectorization, and network resilience assessment. The concluding section summarizes key findings and provides an outlook on future advancements in the field.This book is an invaluable resource for a diverse audience, including transportation engineers, computer scientists eager to tackle real-world air transport challenges, and professionals in data science, software engineering, and aviation research. It is ideal for students in aerospace engineering, computer science, and data science programs, emphasizing practical applications that drive innovation and efficiency in the air transport sector.

Related subjects

Transportation and environment

Transportation geography

Transportation modelling methodological

Transportation policy and practice

Transportation research general

Transportation technology