Smart Cities, Green Technologies, and Intelligent Transport Systems
Smart Cities, Green Technologies, and Intelligent Transport Systems
12th International Conference, SMARTGREENS 2023, and 9th International Conference, VEHITS 2023, Prague, Czech Republic, April 26-28, 2023, Revised Selected Papers
Jarke, Matthias; Ploeg, Jeroen; Klein, Cornel; Berns, Karsten; Gusikhin, Oleg; Vinel, Alexey
Springer International Publishing AG
11/2024
213
Mole
9783031709654
Pré-lançamento - envio 15 a 20 dias após a sua edição
.- 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.
.- 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.