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Books in Transportation modelling methodological

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    • 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.

    • Reliable Decision-Making for Sustainable Transportation

      • 1st Edition
      • September 1, 2025
      • Gholamreza Haseli + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 4 0 6
      • eBook
        9 7 8 0 4 4 3 3 3 7 4 1 3
      Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints.This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions.

    • Models and Applications of Tourists’ Travel Behavior

      • 1st Edition
      • March 14, 2025
      • Francesca Pagliara + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 5 9 3 8
      • eBook
        9 7 8 0 4 4 3 2 6 5 9 2 1
      Models and Applications of Tourists’ Travel Behavior offers an exhaustive overview of various approaches to modeling tourists’ travel behavior, aiding readers in selecting the most suitable theoretical approach based on the available data. The book bridges traditional travel behavior theories and tourist studies, introducing specific tourist contexts in travel demand modeling. It transcends theoretical understanding, providing practical insights for choosing the right model and data source. It covers theoretical, descriptive, and statistical approaches to modeling, discussing choice models based on both Stated Preference Data and Revealed Preference Data.The book starts by exploring the role of transport in tourist travel behavior and employs a comprehensive literature review to establish a foundational understanding. The concluding chapters delve into machine learning methods, emphasizing the modeling of transport in tourism, including mode choice, waiting time, and delay modeling. This resource is beneficial for educators, students, and researchers alike, providing a solid foundation for future model development.

    • Intelligent Urban Mobility

      • 1st Edition
      • June 24, 2025
      • Muhammet Deveci
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 6 0 1
      • eBook
        9 7 8 0 4 4 3 3 4 1 6 1 8
      Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change by focusing on applied soft computing techniques, artificial intelligence, and algorithms for fuzzy systems. Researchers and professionals will find actionable information on mitigating congestion and emissions through sustainable mobility initiatives, which bridges the gap between theory and real-world practice.The book also offers technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options. The book highlights innovative models and frameworks for analyzing mobility options and planning sustainable transport systems. It is an essential resource for researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences who aim to redesign city transportation to reduce environmental impact and carbon emissions.

    • Human Factors in Traffic Safety for Highway and Traffic Engineers

      • 1st Edition
      • July 25, 2025
      • Alexei Tsyganov
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 4 2 7 6
      • eBook
        9 7 8 0 4 4 3 4 0 4 2 8 3
      Human Factors in Traffic Safety for Highway and Traffic Engineers provides human factors principles and findings to allow nonexperts to consider the road user’s capabilities and limitations more effectively into the practice of design, operations, and safety. It provides data and insights on the needs, capabilities, and limitations of road users, including perception and effects of visual demands, cognition, and influence of expectations on driving behavior. It bridges the gap between human factors research and practical application, presenting complex psychological insights in an accessible manner.This book begins with Part 1 explaining the significance of the traffic safety problem and giving an overview of the importance of human factors in highway design and traffic engineering. Part 2 focuses on driver information perception and processing, including perception of depth and speed, driver’s visual search, how road users search for information, and how mental and information load affects drivers’ performance. Part 3 provides results of investigations of traffic crash causation and reviews major driver errors. Part 4 then describes key principles of road users’ considerations during highway design and traffic operation. Finally, Part 5 focuses on safety analysis and assessment and describes in detail the existing methods to evaluate human factors during safety assessments.This is a valuable resource for professionals in highway and traffic engineering, researchers, policymakers, urban planners, and students to understand how human factors contribute to traffic incidents and how to mitigate these through design and operational strategies.

    • Models and Measures for Sustainable City Logistics

      • 1st Edition
      • March 1, 2025
      • Francesco Russo + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 3 2 9
      • eBook
        9 7 8 0 4 4 3 3 3 1 3 3 6
      Models and Measures for Sustainable City: Behavioral Choice Processes Logistics offers a thorough understanding of urban freight movements, focusing on behavioral aspects of consumers. It outlines the role of modelling the behavioral aspects of people determining urban freight movements, mapping the behavior of the end consumer and the retailer which generates freight movements in an urban context. It provides new methods of urban freight transport simulation, taking into account the challenges of sustainable development goals, and uses the most recent approaches in modelling for city logistics scenario design and planning. It also outlines the relationships between measures and main components (expressed by indicators) of sustainable development.This book guides readers in implementing the most effective city logistics measures and actions, addressing the choice of a set of measures and the definition of planning scenarios. Readers are introduced to simulation methods for estimating impacts and system performance, which can be used for comparing the future scenario outcomes according to the set of target indicators defined by Agenda 2030. The book first specifies end consumer behaviors in purchasing processes, analyzing the individual phases of the purchase. The retailer’s behaviors are then specified, and after specifying the patterns of the decision makers, the quantities of goods that constitute the references for the choices of the decision makers are analyzed. Finally, the book presents the problems whose solution makes it possible to identify the vehicles of the various types and then the flows on the network. The overall structure of the model system and the specification of each single model are then given. Some models calibrated in different real cases are presented, highlighting their applicability to other contexts. Finally, implementable measures are presented and the relationships between measures and main components (expressed by indicators) of sustainable development are examined.Transport technicians, post-graduate students, and academics alike will find this a valuable resource for understanding how to incorporate user behavior into transport planning and logistics modeling, ultimately helping them to optimize processes and promote sustainability.

    • Dynamics and Stochasticity in Transportation Systems Part II

      • 1st Edition
      • November 15, 2023
      • Giulio E Cantarella + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 9 7 9 5
      • eBook
        9 7 8 0 4 4 3 2 1 9 7 8 8
      Dynamics and Stochasticity in Transportation Systems Part II: Equations and Examples goes beyond theory and mathematical models to give readers a practical understanding of dynamic and stochastic assignment modeling approaches in transportation systems. After an introduction in Chapter One, following chapters present recent advances, reviews of contents of the corresponding chapters in Giulio Cantarella’s previous book, discussions on numerical examples, comprehensive summaries, and final remarks. Readers will appreciate the fully discussed numerical examples, applications to real cases, review of recent developments and other materials not easily available in the literature, including long proofs. This book bridges mathematical theory with operational needs in a way that no current book does with practical, real-world cases and examples. Academics, researchers, and instructors as well as professionals, practitioners, and consultants will find this a valuable resource for solving network equilibrium problems in transportation systems analysis.

    • The Digital Transformation of Supply Chain Management

      • 1st Edition
      • November 17, 2022
      • Michela Pellicelli
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 5 3 2 7
      • eBook
        9 7 8 0 3 2 3 8 5 5 3 3 4
      The Digital Transformation of Supply Chain Management offers a roadmap to all areas of supply chain management, with the idea of ecosystem as a center of gravity. The book describes the impact of Internet-driven global information and communication systems in enhancing supply chain management processes. It analyzes six building blocks of supply chain management, including consumer focus and demand, resource and capacity management, procurement and purchasing, inventory management, operation management, and distribution management. The book concludes by presenting the principal innovative solutions available now, or in the future, for managing and increasing the efficiency of supply chains. As supply chains are evolving toward an ecosystem that incorporates a wide range of digital technologies such as the cloud, big data, the Industrial Internet of Services, 3D printing, augmented and virtual reality, blockchain, artificial intelligence, machine learning, and many more, this book is an ideal resource.

    • Port Planning and Management Simulation

      • 1st Edition
      • October 27, 2021
      • Wenyuan Wang + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 1 1 2 3
      • eBook
        9 7 8 0 3 2 3 9 0 2 0 8 3
      Port Planning and Management Simulation examines port planning simulation applications, showing how they supports better port decision-making. Using a clear organizational format based on actual port system structure and operation processes, the book provides practical and theoretical insights on port planning and management. The book describes the water, land, collecting and distributing components of the port system, focusing on management, development, and risk mitigation. It examines the key challenges based on discrete system simulation theory that is less affected by local or national regulations. It compares various simulation scenarios for optimal port operational strategy. It quantifies port emissions, analyzes the impact of different reduction strategies, and presents operational strategies for green port planning developmentmand management. Port Planning and Management Simulation provides guidance for carrying out deep analysis in a complex and dynamic system, providing an integrated solution framework based on simulation techniques for improving efficiency and cost savings of the port system.

    • Road Traffic Modeling and Management

      • 1st Edition
      • October 5, 2021
      • Fouzi Harrou + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 4 3 2 7
      • eBook
        9 7 8 0 1 2 8 2 3 4 3 3 4
      Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.