Peter Ranacher














































Contact information
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Phone: +43 - (0)662 - 8044 - 7558
Fax: +43 - (0)662 - 8044 - 7588

Scientific profile
Peter Ranacher holds a Bachelor’s degree in Geography at Graz University, and a Master’s degree in Geospatial Technologies at NAWI Graz – an interdisciplinary research programme at Graz University and Graz University of Technology.

His fields of interests include geoscience in general, as well as moving objects, navigation and socio-economic aspects of traffic in urban landscapes in particular. In his Master thesis he designed and developed a social networking system with a geographic-coordinative background featuring a ride-sharing application that enables users to offer car rides between two locations to other members in the network. The system was awarded the first prize in the GoGeo09 contest organized by the Bavarian Information and Communication Cluster (BICC).

At the Doctoral College GIScience, at the University of Salzburg, Peter Ranacher will carry out research on moving objects and their trajectories, mostly concentrating on spatio-temporal representations, mobility data mining and movement pattern recognition. From March until June 2013 Peter joined the U-lab at the department of Urbanism at Delft University of Technology as a visiting researcher.

In addition to GIScience, Peter is currently studying the Russian language and has a strong interest in Russian culture, language and literature.

Research Cluster

Spatialization, Media and Society

| Moving Objects | Mobility and Traffic Phenomena | Geographic Information Science | Data Mining |

PhD thesis topic

"Data-mining energy use from car trajectories"

In his research Peter Ranacher processes and analyses big amounts of movement data recorded by floating cars. These data allow him to reason about energy consumption of petrol-fuelled road traffic in an urban environment.

Floating cars are vehicles equipped with GNS (Global Navigation System) positioning devices. GNS devices record the spatio-temporal paths of the vehicles. These paths are referred to as movement trajectories. In his research, Peter stores and processes trajectories annotated with fuel consumption. Peter derives movement parameters (i.e. speed, acceleration) along the trajectories and relates these to the instantaneous fuel intake of the vehicle: In automobile traffic, which movement patterns correlate with high or low fuel consumption?

In comparison to plain trajectories, those annotated with fuel consumption are difficult to obtain. Thus, Peter builds on the correlations between fuel intake and movement. He develops a model to estimate fuel consumption from plain trajectories and their movement parameters, only. He then applies this model to a large set of trajectory data without fuel annotations. These are recorded by hundreds of floating cars moving in and around the city of Salzburg, Austria. With the help of the model he estimates fuel consumption along single trajectories. Then he aggregates these into a collective picture of fuel consumption in the city of Salzburg: Where and when in the urban road network of Salzburg do vehicles move in a way that causes them to consume high amounts of energy?


Main Supervisor: Siegfried Reich, Univ.-Doz. Dr., University of Salzburg, Salzburg, Austria
Co-supervisor: Karl Rehrl, Dr., Salzburg Research Forschungsgesellschaft, Salzburg, Austria
Co-supervisor: Stefan van der Spek, Dr. ir., Delft Universtity of Technology, Delft, Netherlands




How to compare movement? A review of physical movement similarity measures in geographic information science and beyond Ranacher, Peter, and Katerina Tzavella. "How to compare movement? A review of physical movement similarity measures in geographic information science and beyond." Cartography and Geographic Information Science ahead-of-print (2014): 1-22. DOI: 10.1080/15230406.2014.890071

Mining urban mobility to improve routing strategies for e-vehicle fleets Ranacher, P., 2013: Mining urban mobility to improve routing strategies for e-vehicle fleets, In: Proceedings of the International Interdisciplinary Conference on Environmental Information and communication, Bogota

An Adaptive Sampling Approach for Trajectories Based on the Concept of Error Ellipses Ranacher. P and Rousell. A., 2013: An Adaptive Sampling Approach for Trajectories Based on the Concept of Error Ellipses, In: Creating the GISociety, Proceedings  of the GI_Forum 2013 conference, Salzburg, p. 169-176., 10.1553/giscience2013s169


Peter Ranacher @ the DK GIScience Symposium 2012