Intelligent Technology for Future Transportation

First International Symposium, ITFT 2024, Helsinki, Finland, October 19-21, 2024, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-031-84147-7
Verlag: Springer Nature Switzerland

Buch, Englisch, 428 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Nguyen, Dinh Hoa

Razminia, Abolhassan

Fachgebiete

• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung

Inhaltsverzeichnis

.- 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.