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Author:   Mario R. Guarracino ,  Igor Kovalev ,  Maksat Kalimoldayev
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032296627

ISBN 10:   3032296625
Pages:   515
Publication Date:   07 August 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Interpretable Hybrid Machine Learning Framework for Urban Transport Network Traffic Congestion Prediction under Weather and Demand Uncertainty.- Spatiotemporal Graph Attention for Multimodal Urban Traffic Prediction.- Intelligent Traffic Management Algorithms for Multi Domain Hybrid Communication Networks.- Federated Learning for Real Time Incident Detection in Connected Vehicle Networks.- Deep Learning for Congestion and Near Miss Detection in Urban Intersection Video.- YOLO Based Pedestrian Vehicle Detection and Risk Aware Signal Timing Optimization at Smart Intersections.- Using Neural Networks in the Transport Industry.- A Digital Shadow Model of a Railway Section.- Integration of GenAI into Corporate Business Processes Digital Coordination in Transport and Infrastructure Related Operational Environments.

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