Особенности построения агентной имитационной модели железнодорожной станции

The authors presented solutions for building simulation models of a railway yards based on an agent-based approach. Simulation models in railway transport are traditionally used as a tool for substantiating design decisions. The main limitation of simulation models of railway yards is the specificity of the organization of train processing at the level of operational planning in the context of the increasing complexity of the structure and unevenness of railcars flows. Operational management of railway transport based on simulation models requires solving the problem of adjusting the model parameters using the data of the information system. An approach to the construction of simulation models of railway stations is proposed, based on the integrated use of an auxiliary virtual graph and an agent-based model of operational control of train processing. An original algorithm for forming a virtual graph of a railway yard has been developed. A software library for describing shunting operations and the functionality of a shunting dispatcher in the AnyLogic simulation environment is presented. The results of a comparative analysis of various approaches to the creation of simulation models of railway yards are presented.Представлены решения по построению имитационных моделей железнодорожной станции на основе агентного подхода. Имитационные модели на железнодорожном транспорте традиционно используются как инструмент обоснования проектных решений. Основным ограничением имитационных моделей железнодорожной станции является специфика организации обработки поездов на уровне оперативного планирования в условиях возрастающей сложности структуры и неравномерности вагонопотоков. Оперативное управление железнодорожным транспортом на основе имитационных моделей требует решения задачи корректировки параметров модели с использованием данных информационной системы. Предлагается подход к построению имитационных моделей железнодорожных станций, основанный на комплексном использовании вспомогательного виртуального графа и агентной модели оперативного управления обработкой поездов. Разработан оригинальный алгоритм формирования виртуального графа железнодорожной станции. Представлена программная библиотека описания маневровой работы и функционала маневрового диспетчера в среде имитационного моделирования AnyLogic. Приведены результаты сравнительного анализа различных подходов к созданию имитационных моделей железнодорожных станций

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

Application of Cloud-based Virtual Reality Integrated Automatic Presentation Script for Understanding Urban Design Concepts

13301甲第4483号博士（学術）金沢大学博士論文本文Full 以下に掲載：International Review for Spatial Planning and Sustainable Development 3(2) pp.53-67 2015. International Community of Spatial Planning and Sustainable Development. 共著者：Yuanyi Zhang, Zhang Ying, Zhenjiang Shen, Tatsuya Nishino, Xiaojuan Che

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

Spatializing Coupled Human and Natural System (CHANS)

Human sustainability is one of the most pressing issues of the 21st century. Coupled Human and Natural Systems (CHANS) offers a useful framework to focus on understanding the complex process and pattern that characterizes the dynamical interactions between human and natural systems. This dissertation research integrates the geospatial analysis into the CHANS framework from three perspectives: temporal, spatial, and organizational coupling. Using the temporal coupling aspect, we monitor the risk of deforestation and biodiversity threats from energy investments in Southeast Asia. We assess the energy investment evaluate changes to forest morphology and the risk to biodiversity. In terms of land cover change, we find that hydroelectric power plants tend to have more extensive biodiversity impacts than coal-fired plants, which are usually built within proximity to major population centers. Next, we explore spatial coupling by examining the spatial heterogeneity and homogeneity in home prices across Massachusetts, using Geographically Weighted Regression models with natural and socio-demographic variables. We discovered models that utilized spatial heterogeneity perform better. However, statistical tests of significance are required to determine the model specification to avoid over-fitting. In the fourth chapter, we examined a critical refugium for endangered fish species in East Africa by mapping the organizational dynamics of aquatic vegetation on Lake Kyoga, Uganda. A CHANS organizational coupling involving the natural infrastructure of aquatic vegetation and fishes can adversely impact endangered species and the surrounding human communities. Floating aquatic vegetation can protect the native fishes from predation by Nile Perch by creating hypoxic barriers between water bodies. We developed an algorithm to locate and identify various types of aquatic vegetation. Profiles of lakes are created to examine the spatiotemporal dynamics of refugia. The results are valuable in shaping strategies to conserve both fish species and human livelihoods. The fifth chapter explores emerging technologies, Virtual Reality, in communicating the complex CHANS coupling of green (trees) and gray infrastructure (gas pipelines). This chapter demonstrates the building of 3D urban landscapes from remote sensing data and the emerging use of VR to communicate, educate and empower the stakeholders on sustainability issues related to aging natural gas infrastructure and resulting methane emissions. This dissertation research aims to build a set of methodologies based on extensive geospatial data, spatially explicit models, and tools essential for operationalizing and monitoring CHANS in studies ranging from local to regional scales. Each application builds or revises a new model or algorithm to address a real-world CHANS problem

Resilient design for London's elevated social spaces: exploring challenges, opportunities, and harnessing interactive virtual reality co-design approaches for community engagement

In the face of escalating urban density, the emerging concept of elevated urban spaces such as sky gardens and roof gardens is becoming a compelling requirement for human well-being in the process of densification. These spaces have gained additional significance in light of the adaptability and resilience required during the Covid-19 pandemic. This research explores the challenges and opportunities related to the design and management of such spaces, with a specific focus on London. A novel facet of this investigation is the application of Virtual Reality (VR) technology as a co-design tool, aimed at enhancing public engagement and the overall design experience of these spaces. The study emphasizes two particular urban locales in London: the Sky Garden and Crossrail Place, chosen for their unique design characteristics, public accessibility, and popularity. These case studies allow for an in-depth examination of critical design aspects such as accessibility, people flow control, pinch points, user experience, and the spectrum of activities that these spaces can accommodate. To create more sustainable and inclusive environments, the study leverages VR technology to bridge the gap between the physical and virtual worlds. This approach is aimed at understanding the impact of this integration on architectural and urban design processes, specifically in terms of design decision-making and its implications for the sustainability and longevity of public places. The adopted methodology is a phenomenological qualitative approach employing the Participatory Action Research (PAR) method. This involved direct observational studies, walk-along interviews with 33 visitors at each site, VR exploratory experiments with the same number of participants, and follow-up semi-structured interviews. Observations were conducted before, during, and after the Covid-19 pandemic, providing a comprehensive perspective on the unique challenges influencing the design and management of elevated urban spaces. The results indicate that VR, as a co-design tool, effectively promotes interactive public participation in the design process. The VR experiments facilitated users to identify design limitations and suggest improvements, even among participants who had not physically visited the sites. The concerns and needs identified through VR closely mirrored those expressed by actual users of the spaces. The findings also offer a comparative analysis of human activities, circulation patterns, and design considerations in both physical and virtual environments, highlighting the potential of VR technology for designing sustainable public spaces in a post-pandemic world. This research contributes threefold: (a) it furnishes theoretical input by establishing guidelines for the design of elevated social spaces, and provides empirical input by suggesting a range of design and planning considerations for developing active, pleasant, and resilient elevated social spaces; (b) it offers methodological input through the development of a multidisciplinary pragmatic framework for assessing the use of VR as an interactive co-design tool; and (c) it presents a comparative analysis of two advanced interactive VR approaches – Building Information Modeling (BIM) and gamification techniques – to enhance public engagement in public and social space design