Description

Book Synopsis

.-Smart Cities and Green ICT Systems.

.- Calculation of Modes and Electromagnetic Influences of a Long-Distance Ultra-High Voltage Power Transmission to Pipeline Based on Digital Models.

.- Decentralised Vehicle Allocation for Community-Based Ride-Sharing Services.

.- Vehicle Technology and Intelligent Transport Systems.

.- Towards Better Modeling of Bicycle Lateral Motion: Model Development, Naturalistic Data Acquisition, and Model Validation.

.- Small Vehicle Damage Detection with Acceleration Spectrograms: An Autoencoder-Based Anomaly Detection Approach.

.- Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility.

.- A Technique for Authentic Fatigue Driving Detection Using Nighttime Infrared Images.

.-  Identifying Challenges in Remote Driving .

.- Decision Tree Based Incident Detection for Distributed Progressive Signal System in an Organic Traffic Control System.

.- Monitoring Traffic Congestion Using Trust-Based Smart Road Signs.

.- Infrastructure-assisted Collective Perception Service With Emphasis on Vulnerable Road User Perception.

Smart Cities Green Technologies and Intelligent Transport Systems

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    £59.99

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    Order before 4pm tomorrow for delivery by Fri 19 Jun 2026.

    A Paperback by Cornel Klein

    15 in stock


      View other formats and editions of Smart Cities Green Technologies and Intelligent Transport Systems by Cornel Klein

      Publisher: Springer
      Publication Date: 18/10/2024
      ISBN13: 9783031709654, 978-3031709654
      ISBN10:

      Description

      Book Synopsis

      .-Smart Cities and Green ICT Systems.

      .- Calculation of Modes and Electromagnetic Influences of a Long-Distance Ultra-High Voltage Power Transmission to Pipeline Based on Digital Models.

      .- Decentralised Vehicle Allocation for Community-Based Ride-Sharing Services.

      .- Vehicle Technology and Intelligent Transport Systems.

      .- Towards Better Modeling of Bicycle Lateral Motion: Model Development, Naturalistic Data Acquisition, and Model Validation.

      .- Small Vehicle Damage Detection with Acceleration Spectrograms: An Autoencoder-Based Anomaly Detection Approach.

      .- Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility.

      .- A Technique for Authentic Fatigue Driving Detection Using Nighttime Infrared Images.

      .-  Identifying Challenges in Remote Driving .

      .- Decision Tree Based Incident Detection for Distributed Progressive Signal System in an Organic Traffic Control System.

      .- Monitoring Traffic Congestion Using Trust-Based Smart Road Signs.

      .- Infrastructure-assisted Collective Perception Service With Emphasis on Vulnerable Road User Perception.

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