Smart Cities, Green Technologies, and Intelligent Transport Systems
Description
This book includes extended and revised selected papers from the 13th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2024, and 10th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2024, held in Angers, France, during May 2-4, 2024.
The 15 full papers presented in this book were carefully reviewed and selected from 86 submissions.They focus on relevant trends of current research on Smart Cities and Green ICT Systems, and Vehicle Technology and Intelligent Transport Systems.
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Content
.- Smart Cities and Green ICT Systems.
.- Variant Selection of Parallel Applications to Achieve Pareto-Optimal Executions Concerning Time and Energy.
.- Leveraging Architectural Models for the Generation of Smart Grid Co-Simulations.
.- FAITH: A Framework for Personalized Trust Management in Smart Cities.
.- Simulation of Operating Modes of Traction Power Supply Systems Equipped with Renewable Energy Sources.
.- Vehicle Technology and Intelligent Transport Systems.
.- Autonomous Driving Low-Level Control System Validation Using Digital Twins.
.- A Hybrid Clustering Approach Using Accident Data for Prediction of Traffic Congestion by Bayesian Network.
.- OpTC: Automatic Compression and Performance Estimation for Deployment of Neural Networks on AURIX TC3xx Microcontrollers.
.- Multi-Pedestrian Tracking and Map-Based Intention Estimation in Autonomous Driving: Evaluating Algorithmic Reliability.
.- Striving Towards a Comprehensive Generation of Test Scenarios for Highly Automated On-Sight Train Operations.
.- Uncertainty Representation in a SOTIF-Related Use Case with Dempster-Shafer Theory for LiDAR Sensor-Based Object Detection.
.- A Heuristic Approach to Optimal Meeting Points in Multi-Modal Ride-Sharing Networks.
.- Enhancing Trajectories from Collective Perception Messages for Performance Measurements at Signalized Intersections.
.- POMDP-Based Trajectory Planning for On-Ramp Highway Merging.
.- Model Predictive Control of CACC with Disturbance Estimation.
.- Boosting VRU Awareness: Bounding Box Strategies for V2X Clustering.