Intelligent Transport Systems

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

Häftad, Engelska, 2025

Del 608 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

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

Produktinformation

Utgivningsdatum:2025-04-03
Mått:155 x 235 x 24 mm
Vikt:663 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:426
Förlag:Springer International Publishing AG
ISBN:9783031863691

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Innehållsförteckning

.- 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.