Topological Structure Of Road Networks Models And Computation Methods
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Topological Structure Of Road Networks: Models And Computation Methods
Roads are essential components of a city. Despite their increasing importance in our daily lives, modeling and simulating road networks is challenging due to their dynamic and complex nature. The underlying order and patterns of the seemingly chaotic and diverse physical patterns of roads are still unclear. Furthermore, there is a knowledge gap regarding the relationships between the size, scale, shape, structure, and space of road networks.This book presents the state-of-the-art in computational methods for modeling the topological structure of road networks. Each chapter focuses on a specific aspect of this topology and provides models, indicators, and empirical studies of road network structures. The book includes six types of structural models and three types of spatial simulation models to help understand the topological structural complexity of road networks. The appendices include several examples of road networks and their universal scale-free patterns.This interdisciplinary book is helpful for individuals interested in spatial modeling, network analysis, transportation geography, and urban studies. It is also a fundamental resource for modeling and computing spatial complex systems. The book is suitable for undergraduate, graduate, and professional researchers interested in geographic modeling and urban design. The text is written with moderate mathematical detail to enhance comprehension of the concepts and principles presented. The use of maps, graphics, and examples makes the modeling and computational processes more intuitive.
Computational Science – ICCS 2018
The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, and Computation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.