Produktbild: Intelligent Technology for Future Transportation
Band 2378

Intelligent Technology for Future Transportation First International Symposium, ITFT 2024, Helsinki, Finland, October 19–21, 2024, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.03.2025

Abbildungen

XIV, 208 illus., 180 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Abolhassan Razminia + weitere

Verlag

Springer

Seitenzahl

428

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

668 g

Sprache

Englisch

ISBN

978-3-031-84147-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.03.2025

Abbildungen

XIV, 208 illus., 180 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

428

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

668 g

Sprache

Englisch

ISBN

978-3-031-84147-7

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Intelligent Technology for Future Transportation
  • .-  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.