Our paper on avoiding traffic jams with dynamic self-organizing trip planning [1] received the best paper award at COSIT conference in L’Aquila. Congratulations to my coauthor Maurice Sotzny, and special thanks to the audience! Our paper is motivated by the increasing congestions in urban areas. Most navigation systems and algorithms that avoid these congestions consider […]
Multimodal Trip Planning with dynamic costs (for example originating from predictions) were focus of Sebastian Peters Bachelors thesis and our paper at AGILE 2017. In the following, I give a step by step tutorial how you may set up Sebastian Peters OpenTripPlanner implementation of Dynamic Transfer Patterns on your CentOS machine. Step 1) Prepare your […]
The following chapter is in press: T. Liebig, “AI-based analysis methods in spatio-temporal data mining,” in AI: Philosophy, Geoinformatics & Law, M. Jankowska, M. Pawelczyk, and M. Kulawiak, Eds., Warsaw: IUS PUBLICUM, 2015, pp. 135-152. [Bibtex] [ Draft] @incollection{liebig16a, title={AI-based analysis methods in spatio-temporal data mining}, author={Liebig, Thomas}, booktitle={AI: Philosophy, Geoinformatics \& Law}, pages={135–152}, year={2015}, […]
Please find below the source code for my upcoming presentation at the AGILE conference 2015 held in Lissabon for the following publication (The main idea is depicted in the figure.) T. Liebig, “Privacy Preserving Centralized Counting of Moving Objects,” in AGILE 2015, F. Bacao, M. Y. Santos, and M. Painho, Eds., Springer International Publishing, 2015, […]
Thomas Liebig