Intelligent Transport Systems (eBook, PDF)

8th International Conference, INTSYS 2024, Pisa, Italy, December 5-6, 2024, Revised Selected Papers
Redaktion: Kocian, Alexander; Pappalardo, Luca; Nanni, Mirco; Henriques Martins, Ana Lúcia; Milazzo, Paolo

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 8th International Conference on Intelligent Transport Systems, INTSYS 2024, held in Pisa, Italy, duirng December 5-6, 2024.

The 25 full papers presented in this book were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: smart technologies; traceability; träic forecasting and control; road safety; regulations and policies; autonomous vehicles; model-based analysis for cooperative transportation under uncertainty and threats.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 426
• Erscheinungstermin: 2. April 2025
• Englisch
• ISBN-13: 9783031863707
• Artikelnr.: 73818436

Inhaltsangabe

.- Smart technologies.

.- Beat trustfully: The correlation between heart rate and a multi-dimensional trust questionnaire.

.- Detecting and Locating Stress in Urban Settings with ChillIn.

.- Traceability.

.- Interoperable Traceability in Supply Chains: A Use Case in Agritech.

.- Treemob: Expressive Mobility Data Representation through Tree-based Structures.

.- From GPS Traces to Individual Emission Exposure: a Data-Driven Four-Step Process.

.- Capacity Vehicle Routing Problem with Time Windows: Simulation tool for Footprint Network Design.

.- Chain of Portable Health Folders: A Systematic Literature Review.

.- Integrating Metro Infrastructure in Circular Food Supply Chains: A Model for decentralized Quito s Food Bank Network Redesign.

.- Tra ic forecasting and control.

.- An AutoML Approach for Bike Demand Forecasting and Redistribution.

.- Adaptive Stop-Skipping Scheduling Approach Using Reinforcement Learning.

.- Machine Learning Approach for Labeling Undetected Planned Trips in Public Transport Operators.

.- Reinforcement Learning Algorithms with Graph Convolution Networks for Tra ic Signal Control.

.- Optimizing Intelligent Transportation Systems with Multi-Agent Reinforcement Learning: A Socio-Economic Impact Assessment.

.- Road safety.

.- A Mobile Application to secure pedestrians interacting with automated vehicles.

.- A Simulation-based Security Benchmarking Approach for Assessing Cooperative Driving Automation (CDA) Applications.

.- Regulations and policies.

.- Wireless Interference and Regulatory Frameworks for Frequency Allocation in V2X Communication Systems.

.- Runtime norms regulation framework for drones smart cities applications.

.- Autonomous vehicles.

.- A Data-Driven Integrated Framework for Virtual Testing of Autonomous Vehicles in Mixed Tra ic Scenarios.

.- Federated Learning for Lane-Change Prediction.

.- Evaluating Tra ic Control Strategies for Autonomous Shuttle In Different AV penetration, Using SUMO Tra ic Simulation.

.- Adaptive Video Bitrate Allocation for Remotely Operated Vehicles (ROV).

.- Model-based analysis for cooperative transportation under uncertainty and threats.

.- Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors.

.- Impact of Network Delays on Edge-Assisted Platooning Systems in 5G Networks: Addressing Latency Challenges.

.- A model-based approach for analysis of data-alteration attacks in co-operative vehicles.

.- A Preliminary Approach To Verify Platoon Behaviour Using Execution Traces and Model Checking.