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Intelligent Transport Systems 8th International Conference, INTSYS 2024, Pisa, Italy, December 5–6, 2024, Revised Selected Papers /

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...

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Збережено в:
Бібліографічні деталі
Співавтор: SpringerLink (Online service)
Інші автори: Kocian, Alexander (Редактор), Milazzo, Paolo (Редактор), Henriques Martins, Ana Lúcia (Редактор), Nanni, Mirco (Редактор), Pappalardo, Luca (Редактор)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Редагування:1st ed. 2025.
Серія:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 608
Предмети:
Information technology > Management.
Computer Application in Administrative Data Processing.
Онлайн доступ:https://doi.org/10.1007/978-3-031-86370-7
Теги: Додати тег
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Зміст:
  • -- 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.
  • Traffic 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 Traffic 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 Traffic Scenarios.
  • Federated Learning for Lane-Change Prediction.
  • Evaluating Traffic Control Strategies for Autonomous Shuttle In Different AV penetration, Using SUMO Traffic 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.

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