Geographic Information Systems for Intermodal Transportation: Methods, Models, and Applications

Geographic Information Systems for Intermodal Transportation: Methods, Models, Applications explores the use of GIS in generating vehicle routes, shorting paths, developing transportation demand models, analyzing spatial data, and three-dimensional modeling for intermodal transportation.

Format: Paperback / softback
Length: 370 pages
Publication date: 22 March 2023
Publisher: Elsevier - Health Sciences Division

Geographic Information Systems for Intermodal Transportation: Methods, Models, Applications delves into the comprehensive realm of Geographic Information Systems (GIS) in the context of transportation. This insightful book explores the fundamental principles and diverse applications of GIS in the realm of intermodal transportation. It sheds light on the distinct features of each transportation mode, including highways, railways, waterways, and airways, as well as the intricate network of combined intermodal transportation. Through its pages, the book unveils the remarkable capabilities of GIS in generating efficient vehicle routes and shorter paths, developing sophisticated transportation demand models, analyzing spatial data, and applying cutting-edge three-dimensional modeling techniques to the intermodal transportation domain.

The book begins by introducing the fundamental concepts and theoretical foundations of GIS in transportation. It delves into the spatial data structures, algorithms, and techniques employed to capture, store, manipulate, and analyze transportation-related data. This foundational knowledge serves as a solid basis for the subsequent chapters, which delve into the specific applications of GIS in intermodal transportation.

Chapter 1 provides an overview of GIS in transportation, highlighting its role in improving transportation efficiency, reducing congestion, and enhancing safety. It discusses the various GIS applications, such as route planning, traffic management, and accident analysis, and how they contribute to the overall optimization of transportation systems.

Chapter 2 delves into the unique characteristics of each transportation mode and the challenges they pose in terms of GIS implementation. It explores the spatial data requirements, data sources, and mapping techniques specific to highways, railways, waterways, and airways. The chapter also discusses the integration of GIS with other transportation systems, such as traffic control systems and transportation management centers.

Chapter 3 explores the concept of combined intermodal transportation networks and the role of GIS in their planning, design, and operation. It discusses the challenges of managing multiple transportation modes and the need for efficient coordination between them. The chapter highlights the use of GIS in developing intermodal transportation models, analyzing transportation demand, and optimizing transportation networks.

Chapter 4 focuses on the application of GIS in generating vehicle routes and shorted paths. It discusses the use of optimization algorithms, traffic simulation models, and spatial data analysis to identify the most efficient routes and reduce travel time. The chapter also explores the integration of GIS with navigation systems and intelligent transportation systems to enhance driver assistance and traffic flow management.

Chapter 5 delves into the development of transportation demand models using GIS. It discusses the use of statistical techniques, machine learning algorithms, and spatial data analysis to predict transportation demand, optimize transportation networks, and assess the impact of transportation policies and interventions. The chapter also explores the use of GIS in monitoring and analyzing transportation-related data, such as traffic volumes, travel times, and emissions.

Chapter 6 explores the application of three-dimensional modeling in the intermodal transportation domain. It discusses the use of virtual reality, augmented reality, and simulation technologies to visualize and analyze transportation networks in three dimensions. The chapter highlights the benefits of three-dimensional modeling in improving decision-making, planning, and operations in intermodal transportation.

Chapter 7 discusses the challenges and limitations of GIS in intermodal transportation. It explores the potential for data gaps, interoperability issues, and the need for continuous improvement and innovation in GIS technologies. The chapter also provides recommendations for policymakers, transportation professionals, and researchers to leverage the full potential of GIS in intermodal transportation.

In conclusion, Geographic Information Systems for Intermodal Transportation: Methods, Models, Applications serves as a comprehensive and authoritative guide to the realm of GIS in transportation. It provides a deep understanding of the fundamental concepts, applications, and techniques of GIS in intermodal transportation, enabling transportation professionals, policymakers, and researchers to leverage the power
power of GIS to optimize transportation systems, enhance efficiency, reduce congestion, and promote sustainable transportation practices.

Weight: 576g
Dimension: 152 x 227 x 22 (mm)
ISBN-13: 9780323901291