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Books in Transportation modelling methodological

  • Measuring Transportation Network Performance

    Analysis and Practice
    • 1st Edition
    • September 1, 2026
    • Mahdi Amiripour
    • English
    Measuring Transportation Network Performance: Analysis and Practice provides a comprehensive guide on how to define and construct performance measures for transportation networks. Sections introduce 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. Practical examples are used to highlight challenges encountered in network performance monitoring, and to point out common errors to enhance comprehension of the network. This book is specifically designed to aid professionals 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, thus bridging the gap between data and storytelling for efficient problem solving.

  • Models and Measures for Sustainable City Logistics

    Behavioral Choice Processes
    • 1st Edition
    • June 1, 2026
    • Francesco Russo + 1 more
    • English
    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.

  • Integrating Activity-Based Models with Mobile Phone Data

    Advances in Traffic Modeling and Multi-Agent Simulation
    • 1st Edition
    • May 1, 2026
    • Fei Yang + 2 more
    • English
    Integrating Activity-Based Models with Mobile Phone Data: Advances in Traffic Modeling and Multi-Agent Simulation analyzes the path from the observation to prediction using traffic big data. The book explores the refined identification method of individual travel chains in the diversified and complex urban travel environment, reconstructing the structure and algorithms of Activity-based Models or ABM based on the characteristics identified by mobile phone signaling data. Final sections develop an activity decision-making and microscopic behavior simulation platform. Users will find this to be a resource that supports urban and regional traffic management optimization and traffic planning using traffic big data.

  • Mobility Patterns, Big Data and Transport Analytics

    Tools and Applications for Modeling
    • 2nd Edition
    • February 27, 2026
    • Constantinos Antoniou + 2 more
    • English
    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.

  • Traffic Flow Theory

    • 2nd Edition
    • January 29, 2026
    • Daiheng Ni
    • English
    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.

  • Reliable Decision-Making for Sustainable Transportation

    • 1st Edition
    • August 22, 2025
    • Gholamreza Haseli + 2 more
    • English
    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.

  • Intelligent Urban Mobility

    Decision Support Systems for Sustainable Transportation
    • 1st Edition
    • June 24, 2025
    • Muhammet Deveci
    • English
    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.

  • Models and Applications of Tourists’ Travel Behavior

    • 1st Edition
    • March 14, 2025
    • Francesca Pagliara + 2 more
    • English
    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.

  • Dynamics and Stochasticity in Transportation Systems Part II

    Equations and Examples
    • 1st Edition
    • November 15, 2023
    • Giulio E Cantarella + 2 more
    • English
    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
    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.