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Elsevier

Books in Transportation

This collection covers sustainable mobility, infrastructure, and logistics. Supporting engineers, planners, and policymakers, it features innovations in smart transportation, multimodal systems, and safety protocols that promote efficient, eco-friendly mobility solutions.

  • Autonomous Driving and Mixed Traffic Dynamics

    Modeling, Simulation, and Control
    • 1st Edition
    • Michail Makridis + 1 more
    • English
    Autonomous Driving and Mixed Traffic Dynamics: Modeling, Simulation, and Control provides an introduction to autonomous vehicles (AV) in road transport systems, along with discussions on the critical similarities and differences with human drivers. Focusing on key concepts in traffic dynamics and AI-based modeling, the book also offers a comprehensive discussion of the unique dynamics introduced by AVs and their impacts on congestion, safety, energy, and their role in sustainable future intelligent transportation systems. Sections delve into traditional driving behaviors, examining the basics of car-following, driver characteristics, lateral movement, and how well AI models generalize these behaviors.Further sections covers shifts to autonomous driving systems, analyzing their operational principles and providing comparative evidence with human drivers. Assessments on the performance of traditional car-following models against artificial intelligence developments that highlight strengths and weaknesses for each approach are also included. Final sections integrate human drivers and AVs into broader traffic flow theories, presenting findings on how autonomous driving impacts traffic patterns, look at the role of AI and modeling, explore the pros and cons of various methods and data sources, and discuss real-world traffic management applications, combining AI and traditional models for traffic estimation, control, and ensuring fair, disruption-resilient outcomes.

  • Mobility Patterns, Big Data and Transport Analytics

    Tools and Applications for Modeling
    • 2nd Edition
    • 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
    • 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.

  • Logistics Transportation Systems

    • 2nd Edition
    • MD Sarder
    • English
    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
    • Sebastian Wandelt + 1 more
    • English
    Air Transport: A Computer Science Perspective examines the integration of computer science principles in air transportation, bridging the gap between theory and real-world applications. It delves into automation, problem solving, and innovative aviation technologies. Authored by a seasoned team of a computer scientist and an airspace engineer, it offers a unique blend of expertise that highlights practical algorithms, data structures, and optimization techniques essential for flight operations and autonomous systems. Readers will learn about the latest regulations, ensuring they are well-equipped to navigate the evolving air transport landscape.Structured in five parts, the book begins with foundational concepts like computational complexity and intelligence. It then explores 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 final section summarizes key insights and future trends.This book is an invaluable resource for transportation engineers, computer scientists, 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.

  • Reliable Decision-Making for Sustainable Transportation

    • 1st Edition
    • 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.

  • Human Factors in Traffic Safety for Highway and Traffic Engineers

    • 1st Edition
    • Alexei Tsyganov
    • English
    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.

  • Net-Zero Transit

    The Future of Eco-Friendly Transportation
    • 1st Edition
    • Paul C. Okonkwo + 2 more
    • English
    Net-Zero Transit: The Future of Eco-Friendly Transportation thoroughly examines the possible future of environmentally friendly transportation, presenting creative approaches and tactics to attain a transit sector with no net emissions. The book explores the convergence of technology, politics, and consumer behavior to provide a comprehensive perspective on achieving environmentally friendly transportation worldwide. The authors illustrate the practicality and advantages of adopting environmentally friendly transportation systems through the examination of real-life examples and the analysis of data.The authors offer practical assistance for establishing sustainable practices in the transit sector by emphasizing successful efforts and innovative solutions. In addition, they provide valuable perspectives on possible obstacles and hurdles that may occur throughout the shift towards achieving net-zero emissions, as well as suggestions for effectively addressing and surmounting them. It uses theoretical analysis and case studies to explore the benefits and challenges of transitioning to a zero-net-carbon transportation system. The economic, social, and environmental impacts of transitioning to net-zero transit are discussed, including the role of government policies, public-private partnerships, and community engagement. The analytical framework of this book encompasses several scenarios, such as the implementation of carbon policy, carbon pricing, carbon offset programs, climate-conscious car-flight-marine pooling, climate-conscious car-flight-marine green gridlock, pedal-walking power progress, and future-proof transportation. It employs real historical datasets from different countries and regions across the globe to forecast future emissions from various transportation modes using a range of machine learning techniques.This book is an invaluable resource for legislators, industry experts, and individuals seeking to promote environmentally friendly transportation solutions and contribute positively to the environment. Its detailed analysis offers actionable insights to policymakers and stakeholders in the transportation industry, enabling them to make well-informed decisions regarding measures to reduce emissions.

  • Intelligent Urban Mobility

    Decision Support Systems for Sustainable Transportation
    • 1st Edition
    • 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.

  • Smart Infrastructure Management

    • 1st Edition
    • Shi Qiu + 3 more
    • English
    People and businesses rely on transportation networks every day, but what happens when critical assets fail unexpectedly or pollute our environment? Smart Infrastructure Management provides an interdisciplinary exploration of this intricate and dynamic landscape, enriching the theoretical and practical understanding of state-of-the-art technologies that can productively support various stakeholders in the decision-making process throughout the entire lifecycle of infrastructure projects.The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies of modern infrastructure management, with a narrative that spans several domains to coordinate a fully integrated approach. Key topics include data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, and decision support systems. The transformative impact of smart cities is also explored, emphasizing their role in enhancing infrastructure capabilities.With real-world case studies systematically featured to illustrate successful implementations and valuable lessons learned, this investigation appeals not only to researchers and students but also to professionals across diverse fields, ensuring that effective strategies are integrated into industry practices, which are essential for improving infrastructure capabilities in line with society’s ever-changing needs.

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