Intelligent Transport Systems

8th International Conference, INTSYS 2024, Pisa, Italy, December 5-6, 2024, Revised Selected Papers
Erscheinungsjahr 2025
ISBN: 978-3-031-86369-1
Verlag: Springer

Buch, Englisch, Band 608, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 663 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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; tra?ic forecasting and control; road safety; regulations and policies; autonomous vehicles; model-based analysis for cooperative transportation under uncertainty and threats.

Zielgruppe

Research

Autoren/Hrsg.

Kocian, Alexander

Milazzo, Paolo

Henriques Martins, Ana Lúcia

Nanni, Mirco

Pappalardo, Luca

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften

Inhaltsverzeichnis

.- 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.