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Crowdsourcing turning restrictions from OpenstreetMap

Crowdsourcing turning restrictions from OpenstreetMap

Leitung:  Zourlidou
E-Mail:  zourlidou@ikg.uni-hannover.de
Jahr:  2019

Objective

Road intersections are locations where different movement patterns are observed: traffic participant go ahead, turn right or left, according both to their needs and most importantly to the traffic restrictions applied everytime at the current location (traffic signs).  

The aim of this thesis is the implementation of a method, where vehicles trajectories acquired from OpenstreetMap (OSM) are analysed in terms of the turning possibilities that drivers have at each intersection location. Final objective is to find out what kind of turning restrictions are found at those locations, like those shown on the figure above.

In total under this thesis work, the student will have the opportunity to experiment with OSM and trajectories analysis, using geodata (GPS vehicle trace data) and studying their applicability on a realistic scenario.

 

Tasks and time schedule

Literature review on the topic

Algorithms’ implementation

Experiments and testing

Writing thesis documentation

Tools

Tools: PostgreSQL database with PostGIS extension (tutorial of installation and usage is provided), Python and relevant packages if needed or selected  for the implementation of the objectives

Prerequisites

Programming: knowledge of a programming language (preferably Python) as the tasks involve processing of trajectory data

Knowledge on OSM: desirable but not a prerequisite

Interest and willingness to work with OSM and trajectory data

Ability to work independently

Contact

M.Sc. Stefania Zourlidou - zourlidou@ikg.uni-hannover.de - Tel. 0511.762-19435 - Office 615
- Institut für Kartographie und Geoinformatik, Appelstraße 9a, 30167 Hannover