Smart Cities, Green Technologies, and Intelligent Transport Systems (eBook, PDF)

12th International Conference, SMARTGREENS 2023, and 9th International Conference, VEHITS 2023, Prague, Czech Republic, April 26-28, 2023, Revised Selected Papers
Redaktion: Klein, Cornel; Gusikhin, Oleg; Vinel, Alexey; Berns, Karsten; Ploeg, Jeroen; Jarke, Matthias

• Format: PDF

Produktbeschreibung

This book includes extended and revised selected papers from the 12th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2023, and 9th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2023, held in Prague, Czech Republic, in April 2023.

The 10 full papers presented in this book were carefully reviewed and selected from 80 submissions. These papers contribute to our understanding of relevant trends currently underway in research on Smart Cities and Green ICT Systems, & Vehicle Technology and Intelligent Transport Systems.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 213
• Erscheinungstermin: 17. Oktober 2024
• Englisch
• ISBN-13: 9783031709661
• Artikelnr.: 72242216

Inhaltsangabe

.-Smart Cities and Green ICT Systems.

.- Calculation of Modes and Electromagnetic Influences of a Long-Distance Ultra-High Voltage Power Transmission to Pipeline Based on Digital Models.

.- Decentralised Vehicle Allocation for Community-Based Ride-Sharing Services.

.- Vehicle Technology and Intelligent Transport Systems.

.- Towards Better Modeling of Bicycle Lateral Motion: Model Development, Naturalistic Data Acquisition, and Model Validation.

.- Small Vehicle Damage Detection with Acceleration Spectrograms: An Autoencoder-Based Anomaly Detection Approach.

.- Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility.

.- A Technique for Authentic Fatigue Driving Detection Using Nighttime Infrared Images.

.- Identifying Challenges in Remote Driving .

.- Decision Tree Based Incident Detection for Distributed Progressive Signal System in an Organic Traffic Control System.

.- Monitoring Traffic Congestion Using Trust-Based Smart Road Signs.

.- Infrastructure-assisted Collective Perception Service With Emphasis on Vulnerable Road User Perception.