Intelligent Technology for Future Transportation (eBook, PDF)

First International Symposium, ITFT 2024, Helsinki, Finland, October 19-21, 2024, Proceedings
Redaktion: Razminia, Abolhassan; Nguyen, Dinh Hoa

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the First International Symposium on Intelligent Technology for Future Transportation, ITFT 2024, held in Helsinki, Finland, during October 19-21, 2024.

The 32 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They are organized according to the following topics: Intelligent Vehicle Technology and Applications; Intelligent Transportation Management and Traffic Flow Analysis; and Intelligent Transportation Infrastructure and Sustainable Transportation.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 428
• Erscheinungstermin: 11. März 2025
• Englisch
• ISBN-13: 9783031841484
• Artikelnr.: 73607109

Inhaltsangabe

.- Intelligent Vehicle Technology and Applications.

.- The Comparative Analysis of Car-Pooling Algorithms for Ride-Sharing Systems.

.- Acceptance of Automated Vehicles in Logistics and Beyond: A Survey-Based Investigation.

.- Modeling Autonomous Delivery Robots under framework of Automated Driving System using Dynamic Transport Assignment: A state-of-the-art.

.- Virtual Variable Baseline Stereo Vision Algorithm.

.- A Conceptual Framework to Operational Design Domain (ODD)-based Scenario Generation for Technical Evaluation Obstacle Detection in Automated Shuttle Bus.

.- Precise Driver's Drowsiness Detection Using a Combination of Proven Methods with a single layer Neural Network.

.- FusionSis: Analysis and Evaluation Framework for Fusion Safety State of Connected and Automated Vehicles under Cyber Attacks.

.- Deep Learning-based Monocular Depth Estimation Method for Forklift Collision Avoidance.

.- Enhancing Multi-User Experience: Optimizing Explanation Timing through Game Theory.

.- User-intimate and Trustworthy Ontology-based Requirement Engineering Methodology: A Case study on Connected and Autonomous Electrical Vehicles.

.- Intelligent Transportation Management and Traffic Flow Analysis.

.- AI and Leadership in Startup Innovation and Disruption: The Case of Mobility as a Service (MaaS).

.- Research on traffic analysis zones division model for new roads based on complex network theory.

.- Forecasting Vehicle Mobility on Various Segments of the Urban Transport Network in the Fuzzy Paradigm.

.- The emerging ICT for exposure reduction in urban mobility: transport models for risk cycle.

.- Concept of a Virtual Test Field for Inland Waterway Transport.

.- Critical Characterization of Three-Phase Traffic Flow in Severe Condition.

.- Design and Implementation of Traffic Congestion Relief Strategies Based on Multi-Objective Optimization Algorithms.

.- Wide-area Ship Movement Prediction using Random Forests.

.- Characteristics of heterogeneous traffic flow involving different intelligent level autonomous vehicles.

.- Exploring the potential application of Ramp Metering systems to improve the performances of Roundabout Corridors.

.- The Research on customer demand of Asia-Europe liner shipping companies based on Kano model.

.- The Death and Life of Free-Floating Car Sharing in China: Case Study of Chengdu and Changchun.

.- Intelligent Transportation Infrastructure and Sustainable Transportation.

.- Research on Coordinated Control of Multiple Energy Storage Systems Considering No-load Voltage Differences.

.- Intelligent Transportation Systems: Enabling Sustainable Transportation and Efficient Traffic Management-A Review.

.- A Green Intelligent Transport Model for Urban Mobility.

.- RPC coordinated control strategy with battery and flywheel energy storage.

.- Experimental Virtual-reality Assessment of a Cycling Environment Using a One-boundary Drift-diffusion Model.

.- Reinforcement Learning based Smart Charging for Electric Vehicle Fleet.

.- Materials recycling and transportation infrastructure.

.- Dynamic Characteristics Analysis of High-Speed Trains Considering Wheel Polygonal Wear Under Track Irregularity Excitation.

.- Modeling Interdependencies in Intelligent Traffic Systems and Sustainable Urban Development Using Graph Neural Networks.

.- Towards a Green Future: Case Analysis and Technological Prospects for Sustainable Transportation Decarbonization.