Student research group – SIS-DVA

Student research group for the detection and visualization of the anomalies on the urban roads (hrv. Studentska istraživačka skupina za detekciju i vizualizaciju anomalija na gradskim prometnicama – SIS-DVA) is the first student research group on the Faculty of Transport and Traffic Sciences. The group is operating under the Laboratory for the data science in traffic and logistics at Department of the intelligent transport systems.

Encouraging scientific research among students

Raising student competencies for the future employment

Promoting of science among the student population

Associates:

Valentin Vareškić (iOLAP Ltd.)
Željko Majstorović (Faculty of Transport and Traffic Sciences)

Other papers and articles:

1. PyQGIS — Script for visualization of grid-based data
2. Visualize your data on the interactive web map using QGIS plugins
3. Road Traffic State Clustering Using Speed Transition Matrices
4. Simple GPS data visualization using Python and Open Street Maps
5. Speed Transition Matrix: Novel road traffic data modeling technique
   

Scientific papers:

1. Traffic State Estimation and Classification on Citywide Scale Using Speed Transition Matrices
2. Measure for Traffic Anomaly Detection on the Urban Roads Using Speed Transition Matrices
3. Development of an Information and Communication System for the Detection of Traffic Flow Anomalies on Urban Roads