The publication delivers numerous valuable guidelines, particularly useful when making decisions related in the subject matter to road and rail nodes located in dense transport networks. The know-how displayed while discussing practical examples as well as the decision making support systems described in the publication will certainly attract the interest of those who daily face the challenge of seeking solutions to the operational and functional problems of transport nodes in contemporary transport networks and systems. This publication is dedicated to local authorities involved in planning and preparation of development strategies for specific transport-related issues (in both urban and regional areas) as well as to representatives of business and industry, being those who participate directly in the implementation of traffic engineering solutions. The guidelines provided in individual chapters of the publication will make it possible to address the given problem in an advanced manner and simplify the choice of appropriate strategies (including those related to synchronisation of road traffic streams, improving the capacity, road traffic safety analysis, evaluation of changes in drivers’ behaviour on account of introducing countdown timers at signal-controlled intersections using UAV data, the influence of the type of traffic organisation on the behaviour of pedestrians at tram line crossings). On the other hand, since the publication also concerns the new approach to theoretical models (including potential places of integration of public transport with the railway network or the speed adviser for pedestrians enabling them to choose the optimal path at signal-controlled intersections), it should also attract the attention of researches and scientists studying this body of problems. The publication entitled "Nodes in transport networks - research, data analysis and modelling" contains selected papers submitted to and presented at the 16th ”Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held on 16-18 September 2019 in Katowice (Poland).

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.

This book presents many valuable tips for making decisions related to traffic flow in the transport networks. The knowledge base in practical examples, as well as the decision support systems described in this book, finds interest among people who face the daily challenge of searching for solutions to the problems of contemporary transport networks and systems. The publication is therefore addressed to local authorities related to the planning and development of development strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the evaluation of BEV and FCHEV electric vehicles in the creation of a sustainable transport systems, development of ecological public transport on the example of selected cities, impact of drivers' waiting time on the gap acceptance at median, uncontrolled T-intersections). In turn, due to a new approach to theoretical models (including, inter alia, the application of genetic algorithms for the planning of urban rail transportation system, comprehensive estimate of life cycle costs of new technical systems using reliability verification algorithm, application and comparison of machine learning algorithms in traffic signals prediction), the publication also interests scientists and researchers carrying out research in this area.

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.

This open access book demonstrates the application of simulation modelling and network analysis techniques in the field of Roman studies. It summarizes and discusses the results of a 5-year research project carried out by the editors that aimed to apply spatial dynamical modelling to reconstruct and understand the socio-economic development of the Dutch part of the Roman frontier (limes) zone, in particular the agrarian economy and the related development of settlement patterns and transport networks in the area. The project papers are accompanied by invited chapters presenting case studies and reflections from other parts of the Roman Empire focusing on the themes of subsistence economy, demography, transport and mobility, and socio-economic networks in the Roman period. The book shows the added value of state-of-the-art computer modelling techniques and bridges computational and conventional approaches. Topics that will be of particular interest to archaeologists are the question of (forced) surplus production, the demographic and economic effects of the Roman occupation on the local population, and the structuring of transport networks and settlement patterns. For modellers, issues of sensitivity analysis and validation of modelling results are specifically addressed. This book will appeal to students and researchers working in the computational humanities and social sciences, in particular, archaeology and ancient history.

This book presents a number of guidelines that are particularly useful in the context of decisions related to system-approach-based modern traffic engineering for the development of transport networks. Including practical examples and describing decision-making support systems it provides valuable insights for those seeking solutions to contemporary transport system problems on a daily basis, such as professional working for local authorities involved in planning urban and regional traffic development strategies as well as representatives of business and industry directly involved in implementing traffic engineering solutions. The guidelines provided enable readers to address problems in a timely manner and simplify the choice of appropriate strategies (including those connected with the relation between pedestrians and vehicle traffic flows, IT development in freight transport, safety issues related to accidents in road tunnels, but also open areas, like roundabouts and crossings). Furthermore, since the book also examines new theoretical-model approaches (including the model of arrival time distribution forming in a dense vehicle flow, the methodological basis of modelling and optimization of transport processes in the interaction of railways and maritime transport, traffic flow surveys and measurements, transport behaviour patterns, human factors in traffic engineering, and road condition modelling), it also appeals to researches and scientists studying these problems. This book features selected papers submitted to and presented at the 16th Scientific and Technical Conference Transport Systems Theory and Practice organized by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held on 16–18 September 2019 in Katowice (Poland), more details at www.TSTP.polsl.pl.

Transport Nodal System provides a comprehensive introduction to the development of transport nodes and nodal systems, focusing on economic, operational, management, planning, policy, regulation and sustainability perspectives. Through a deep analysis on different types of transport nodes from diverse perspectives, this book shows the major issues and challenges that transport node planners, managers, and policymakers face, and how to address them. The book provides a clear framework for identifying the common attributes across all nodes that contribute to the efficient operations, planning, and management of transport facilities. Transport nodes such as seaports, inland terminals, airports, highways, and railroads are hubs in a multimodal transportation network that facilitate the smooth operation of passengers and freight. The book uniquely uses the transport node itself rather than a specific type of structure for a specific type of transport mode as the primary focus of analysis. While stressing the importance of transport nodes in developing efficient logistics and supply chains, the book also demonstrates that transport nodes are geographically embedded within a particular location, and that operations are inevitably affected by local factors, such as culture, the economy, the political and regulatory environment and other institutions. - Provides a unified look at multimodal transportation nodes to gain a better understanding of total system performance - Includes numerous case studies from developed and emerging economies - Uses an interdisciplinary approach where policy, regulations, economics, strategic management, operations, sustainability and technological innovation are considered together - Features chapters by scholars who specialize in different transport modes (land, sea and air) - Up-to-date outcomes utilizing author's original research provide a systematic investigation of the nodal system in both theory and practice

Transportation Networks. Optimality. Cost Functions. Deterministic User Equilibrium Assignment. Stochastic User Equilibrium Assignment. Trip Table Estimation. Network Reliability. Network Design. Conclusions. References. Index.

Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.