This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems.Smart Trajectories: Metamodeling, Reactive Architecture for Analytics and Smart Applications deals with the representation and manipulation of smart trajectories in various applications and scenarios. Presented in three parts, the book first discusses the foundation and principles for spatial information system, complex event processing, and building reactive architecture. Next, the book discusses modeling and architecture in relation to smart trajectories metamodeling, mining and big trajectory data, and clustering trajectories. The final section discusses advanced applications and trends in the field, including congestion trajectories analytics and real-time Big Data analytics in cloud ecosystems. Metamodeling, distributed architectures, reactive programming, Big Data analytics, NoSql databases, connected objects, and Edge-Fog-Cloud Computing form the basis of the concepts and applications discussed. The book also presents a number of case studies to demonstrate smart trajectories related to spatio-temporal events such as traffic congestion and pedestrian accidents.This book is intended for graduate students in computer engineering, spatial databases, complex event processing, distributed systems, and GIS. The book will also be useful for practicing traffic engineers, city managers, and environmental engineers interested in monitoring and security analysis.The book highlights developments, discoveries, practical and advanced experiences related to Responsive Intelligent Distributed Computing. Further, it describes how to support the deployment of trajectory-based applications in intelligent systems. The following points summarizes the contributions:1. The ecosystems and distributed intelligent computing paradigm deploying and instantiating smart trajectories meta-model take advantage of innovative trends in generic reactive architecture for analytics and smart city applications.2. Concept of smart trajectory concerned the transport of hazardous materials, the management of urban traffic congestion, the Internet of vehicles, or more generally connected objects (IoV and u0026 IoT) with their integration into Edge-Fog-Cloud computing, Big data Analytics of trajectories in general, calculation of fuzzy intuitionist risk, monotonic reasoning and modeling of pedestrian risks, fuzzy pheromone and intelligent transport system.3. Meta-modeling with new trajectories patterns which are very useful for intelligent systems developers (intelligent transportation systems)4. The case studies presented in the book will be of interest to researchers and professionals. In fact, the proposed case studies correspond to real industrial projects supported by institutional funding.5. The balance between practice and theory is respected in the book in order to also interest young computer science students.

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