1.

Record Nr.

UNINA9910999676003321

Autore

Shi Quan

Titolo

Connected Vehicles Traffic Prediction : Emerging GNN Methods / / by Quan Shi, Yinxin Bao, Qinqin Shen, Zhenquan Shi, Ruifeng Gao

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-84548-X

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (IX, 180 p. 108 illus., 90 illus. in color.)

Collana

Wireless Networks, , 2366-1445

Disciplina

621.382

Soggetti

Telecommunication

Computational intelligence

Transportation engineering

Traffic engineering

Communications Engineering, Networks

Computational Intelligence

Transportation Technology and Traffic Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Artificial Intelligence in Connected Vehicles -- A Hybrid Model Integrating Local and Global Spatial Correlation for Connected Vehicles Traffic Prediction -- Sdscnn: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network For Connected Vehicles Traffic Prediction -- Spatial-Temporal Complex Graph Convolution Network for Connected Vehicles Traffic Prediction -- Prior Knowledge Enhanced Time-Varying Graph Convolution Network for Connected Vehicles Traffic Prediction -- Spatial-Temporal Heterogeneous and Synchronous Graph Convolution Network For Connected Vehicles Traffic Prediction -- Multi-Sequential Temporal Convolution Gated Graph Neural Network For Connected Vehicles Traffic Prediction -- Connected Vehicles Traffic Prediction Based On Multi-Temporal Graph Convolutional Networks -- Urban Road Network Connected Vehicles Traffic Speed Prediction Model Based On Global Spatio-Temporal Characteristics -- Future Challenges Of Connected Vehicles Traffic Prediction -- Conclusion.

Sommario/riassunto

This book delves into the problems and challenges faced in achieving



improved performance in connected vehicles traffic flow prediction in intelligent connected transportation systems and provides an in-depth analysis of spatial-temporal feature extraction, global local spatial feature extraction, and fusion of external factors. The book is divided into ten chapters, and the introductory section presents the history of the development of artificial intelligence and graph neural networks in the context of connected vehicles, related work on prediction of connected traffic, and preliminary knowledge. Chapter 2 to 9 present eight prediction methods in the context of connected traffic, respectively. Each section includes an introduction to the problem definition, model architecture, experimental setup, and discussion of results, as well as references. The last section summarizes the contributions of the book and future challenges. Covers performance in connected vehicles traffic flow prediction in intelligent connected transportation systems; Presents connected traffic flow prediction solutions that ensure model performance; Proposes solutions demonstrated with proof-of-concept prototype implementations, written in open-source Python.

2.

Record Nr.

UNINA9910838177103321

Titolo

Zoomland : Exploring Scale in Digital History and Humanities / / ed. by Florentina Armaselu, Andreas Fickers

Pubbl/distr/stampa

Mnchen ; ; Wien : , : De Gruyter Oldenbourg, , [2023]

2024

ISBN

3-11-131777-3

Edizione

[1st ed.]

Descrizione fisica

1 online resource (VIII, 482 p.)

Collana

Studies in Digital History and Hermeneutics , , 2629-4540 ; ; 7

Disciplina

001.30285

Soggetti

Digital humanities

Historiography - Data processing

Scale (Philosophy)

Sciences humaines numériques

Historiographie - Informatique

digital humanities

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Nota di contenuto

Frontmatter -- Contents -- Introduction -- History -- Adventures in Zoomland: Transitions in Scale and the Visual Exploration of Historical Knowledge Graphs as Sequential Storytelling -- Capturing Discourse through the Digital Lens: Towards a Framework for the Analysis of Pro-democratic Discourse in the Weimar Republic -- Menocchio Mapped: Italian Microhistory and the Digital Spatial Turn -- Scaling Digital History and Documenting the Self-Emancipated -- Media -- Keep Calm and Stay Focused: Historicising and Intertwining Scales and Temporalities of Online Virality -- Zooming in on Shot Scales: A Digital Approach to Reframing Transnational TV series Adaptations -- Adapting the Optics: Zoom-in, Zoom-out, and Zoom-zero Modes to Understand Religious Sculptures -- Scale Exercises: Listening to the Sonic Diversity in 5000 hours of Swedish Radio with Computers and Ears -- Hermeneutics -- Complexity and Analytical-creative Approaches at Scale: Iconicity, Monstrosity, and #GraphPoem -- The Scales of (Computational) Literary Studies: Martin Mueller's Concept of Scalable Reading in Theory and Practice -- Text, Fractal Dust and Informational Granularity: A Study of Scale -- Scale and Narrative: Conceiving a Long-form Digital Argument for Data-driven Microhistory -- Digital Landscapes -- Meaningful Aesthetics: A Comparison of Open Source Network Analysis Tools -- Defining Level and Scale as Socio-technical Operators for Mining Digital Traces -- Zooming is (not just) Scaling: Considerations of Scale in Old Maps from Cartographic Perspectives on Generalisation -- Weather Map: A Diachronic Visual Model for Controversy Mapping -- List of Contributors -- Index

Sommario/riassunto

Despite a variety of theoretical and practical undertakings, there is no coherent understanding of the concept of scale in digital history and humanities, and its potential is largely unexplored. A clearer picture of the whole spectrum is needed, from large to small, distant to close, global to local, general to specific, macro to micro, and the in-between levels. The book addresses these issues and sketches out the territory of Zoomland, at scale. Four regions and sixteen chapters are conceptually and symbolically depicted through three perspectives: bird's eye, overhead, and ground view. The variable-scale representation allows for exploratory paths covering areas such as: theoretical and applicative reflections on scale combining a digital dimension with research in history, media studies, cultural heritage, literature, text analysis, and map modelling; creative use of scale in new digital forms of analysis, data organisation, interfaces, and argumentative or artistic expressions. Zoomland provides a systematic discussion on the epistemological dimensions, hermeneutic methods, empirical tools, and aesthetic logic pertaining to scale and its innovative possibilities residing in humanities-based approaches and digital technologies. Enter the Zoomland game here or watch the teaser!