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In this informative and well-researched account, the new developments in intermodal transport are discussed, and special attention is given to evaluation models and policy measures in this field. Describing the three core models that have been either developed or enhanced to create an overall assessment framework for intermodal transport policies in Belgium--a multimodal freight model (NODUS), a discrete event-simulation model of the inland waterway network and its terminals (SIMBA), and a Location Analysis Model for Belgian Intermodal Terminals (LAMBIT)--this record analyzes the effectiveness and sustainability of policy measures in terms of modal shift, external costs, and capacity restrictions associated with the freight infrastructure network.
Intermodal Freight Transportation conceptualizes intermodal transport as a set of physical, logical, financial and contractual flows, examining the barriers that impact intermodal freight services and the resulting performance variables. The book covers transport modes, agents, supply and demand patterns, key drivers, trends influencing the freight transportation sector, the evolution of supply and logistics chains, and the impacts of technological advancements, such as autonomous vehicles and e-commerce. In addition, the book covers transport agents, such as shippers, freight forwarders, integrators, and customs, as well as the demand for freight transport services and the key properties of goods. Readers will find a variety of new tools for analyzing and building effective transport chains that addresses component technology, information, responsibility, and financing dimension, along with sections on key organizational, regulatory, infrastructure and technological barriers. The book concludes with a look into the future of the freight transport sector.
The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.
The objective of this project was to develop a system for environmental information management and decision support for transportation plans, programs, projects, operations, and maintenance activities. This document contains the following appendixes to the implementation handbook: (B) Survey Results; (C) Use Cases; (D) Best Practices; (E) Laws and Regulations; and (F) Definitions of Entities.
This book is a printed edition of the Special Issue "Sustainable Freight Transport" that was published in Sustainability
This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book.
The integration of technology into the transport planning sector has allowed for more stable, yet increasingly complex models that enable better analysis techniques and new approaches to decision making. These modern advances ensure higher productivity in addressing various planning problems. Using Decision Support Systems for Transportation Planning Efficiency is a valuable reference source of the latest scholarly research on the vast improvements that computational innovations have made for transportation planners. Featuring extensive coverage on a range of topics relating to spatial planning, environmental risks of transport, and traffic information systems, this publication is a pivotal reference source for transportation planners, professionals, and academicians seeking expert information on a multitude of transportation issues. This publication features timely chapters relevant to the area of transport planning, including artificial neural network models, logistics hubs, urban growth and expansion, accessibility modeling, sustainable mobility, hazardous materials transport, and urban intersections.
This annual information bulletin presents a survey of research in hand on the social and economic aspects of transport in over 400 specialised agencies which are mainly European (West and East) but in some cases American, Canadian or Australian.
With a focus on cargo transportation, this book addresses the development of approaches intended to secure an infrastructure of smart services to support the adaptive implementation of online multi-modal freight transport management processes. It discusses the development of multi-criteria decision-making components and their integration into the multi-layered computer-based information management of intelligent systems. Through detailed descriptions of various components of intelligent transport management systems, the book demonstrates how to develop the services needed in the right place and at the right time, and how to properly adapt to user needs, making necessary interventions to ensure the safety of the transportation process. Further, it describes the main ways to increase the autonomy and efficiency of user-vehicle interaction and shows how Information and Communications Technology (ICT) structural support for current and past situations in AI-based systems can help to anticipate future developments in freight transportation.