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.

.- 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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