Zusammenfassung, kritische Würdigung und Ausblick
X-1 to X-Wings: Developing a Parametric Cost Model
WSN-Based Driver Cabinet Monitoring System for the Fleet of Long-Route Vehicles
Worldwide Railway Skeleton Network: Extraction Methodology and Preliminary Analysis
Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data
What is the Appropriate Temporal Distance Range for Driving Style Analysis?
Wearable Technology Adaptation to Aviation Cabin Crew’s Fatigue Assessments
Wavelet Packet Energy Entropy Based Feature Analysis of Seismic Signals from Vehicle Targets
Visualization Tools for Traffic Congestion Estimation
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning
Visual data mining for quantized, spatial data
Vision-Based Irregular Car Parking Behaviors Detection in the Underground Garage
Vision-Based Driver Authentication and Alertness Detection Using HOG Feature Descriptor
V-FASTR : Transient Detection at the VLBA, and Implications for the Square Kilometre Array
Vessel Spatio-temporal Knowledge Discovery with AIS Trajectories Using Co-clustering
Vessel Crowd Movement Pattern Mining for Maritime Traffic Management
Verkehrsprognosen mit Visuellem Data Mining und Künstlicher Intelligenz
Verkehrsbild Deutschland : regionale Analysen durch Data-Mining
Verifizierung des Konzepts anhand einer Fallstudie
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Vehicle-Road Multi-View Interactive Data Fusion
Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models
Using visual analytics to make sense of railway Close Calls
Using data mining techniques to predict the severity of bicycle crashes
Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios
Using causal machine learning for predicting the risk of flight delays in air transportation
Urban Traffic Monitoring from Mobility Data
Urban Traffic Management Utilizing Soft Measures: A Case Study of Volos City
Unsupervised hybrid anomaly detection model for logistics fleet management systems
Unsupervised hybrid anomaly detection model for logistics fleet management systems
Understanding the usage of dockless bike sharing in Singapore
Understanding the bike sharing travel demand and cycle lane network: The case of Shanghai
Understanding Taxi Travel Demand Patterns Through Floating Car Data
Understanding Taxi Service Strategies From Taxi GPS Traces
Understanding spatial concentrations of road accidents using frequent item sets
Understanding Daily Travel Patterns of Subway Users – An Example from the Beijing Subway