Supporting Operational and Real-time Planning Tasks of Road Freight Transport with Machine Learning. Guiding the Implementation of Machine Learning Algorithms PDF Download
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Author: Sandra Lechtenberg
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832556303
Category :
Languages : en
Pages : 364
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Book Description
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
Author: Sandra Lechtenberg
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832556303
Category :
Languages : en
Pages : 364
Get Book
Book Description
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
Author: Dalė Dzemydienė
Publisher: Springer Nature
ISBN: 3031071999
Category : Business & Economics
Languages : en
Pages : 425
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Book Description
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.
Author: Asvin Goel
Publisher: Springer Science & Business Media
ISBN: 038775105X
Category : Business & Economics
Languages : en
Pages : 184
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Book Description
This book combines wireless telematics systems with dynamic vehicle routing algorithms and vehicle-positioning systems to produce a telematics-enabled information system that can be employed by commercial fleet operators for real-time monitoring, control, and planning. The book further presents a Messaging And Fleet Monitoring System and a Dynamic Planning System (DPS) that provides real-time decision support considering the current state of the transportation system.
Author: Eiichi Taniguchi
Publisher: CRC Press
ISBN: 100093344X
Category : Technology & Engineering
Languages : en
Pages : 187
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Book Description
Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS). The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport. Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents. This book Presents procedures for evaluating city logistics technologies and policy measures Provides an overview of advanced modelling approaches, including agent-based model and machine learning Highlights the essential features of optimisation and simulation models applied to city logistics Discusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systems The book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.
Author: Khaled R. Ahmed
Publisher: Springer Nature
ISBN: 3030656616
Category : Computers
Languages : en
Pages : 264
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Book Description
This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.
Author: Guanghui Zhao
Publisher: World Scientific
ISBN: 9811236011
Category : Technology & Engineering
Languages : en
Pages : 352
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Book Description
This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Book Description
Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 182
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Book Description
Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.
Author: J. W. Konings
Publisher: Edward Elgar Publishing
ISBN: 1848441398
Category : Business & Economics
Languages : en
Pages : 357
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Book Description
. . . the book will be a valuable resource for students, researchers, policy makers and practitioners. Competition and Regulation in Network Industries The book is well balanced. . . The authors depict the reality of this complex world and identify the right strengths, weaknesses, opportunities and threats. Bart Jourquin, European Journal of Transport and Infrastructure Research . . . the editors and the expert contributors provide a timely overview of the present role and challenges of intermodal freight transport. . . the book will not only be appealing to academics and researchers with an interest in the emerging field of intermodal transport research. As the book is largely kept at an executive and policy level, it is also appealing to practitioners and policy makers. . . the book is a valuable contribution to the study of intermodal freight transport as a new transportation research application field. It is an essential reading for all stakeholders in the field of intermodal freight transportation, providing them with insight and tools to address the mounting academic and practical challenges in this segment of the transport and logistics market. Theo Notteboom, Journal of Transport Geography This book explores the great challenge of increasing the scope of intermodal freight transport. In view of the current dominant role of road transport and the increasing difficulties in coping with a growing number of vehicles in an efficient and sustainable way, intermodal freight transport could be considered a viable alternative. However, the book makes recognition of the fact that there is still a need to improve the performance of the intermodal transport system. The expert contributors provide an overview of the present role of intermodal freight transport, address opportunities to significantly improve current performance, and demonstrate design and modelling tools used to analyse and support this performance. Requirements for the implementation of intermodal innovations are also prescribed, and policies needed to improve competitiveness are outlined. Many factors contributing to the performance and competitiveness of intermodal freight transport are explored, from technological and organisational innovations through to institutional settings and policy frameworks. This comprehensive range of topics will attract a broad audience including academics, researchers, policymakers and practitioners involved in the design and development of freight transport systems. It will also strongly appeal to those with an interest in the future of freight transport.
Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0128098511
Category : Business & Economics
Languages : en
Pages : 344
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Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
