2018
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Fogliaroni, Paolo; Bucher, Dominik; Jankovic, Nikola; Giannopoulos, Ioannis Intersections of Our World Inproceedings In: Winter, Stephan; Griffin, Amy; Sester, Monika (Ed.): Proceedings 10th International Conference on Geographic Information Science (GIScience 2018), pp. 3:1–3:15, LIPICS, 114, 2018, ISBN: 978-3-95977-083-5, (Vortrag: 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne; 2018-08-28 -- 2018-08-31). @inproceedings{fogliaroni18:3:1[TUW-271422],
title = {Intersections of Our World},
author = {Paolo Fogliaroni and Dominik Bucher and Nikola Jankovic and Ioannis Giannopoulos},
editor = {Stephan Winter and Amy Griffin and Monika Sester},
url = {https://publik.tuwien.ac.at/files/publik_271422.pdf},
doi = {10.4230/LIPIcs.GISCIENCE.2018.3},
isbn = {978-3-95977-083-5},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings 10th International Conference on Geographic Information Science (GIScience 2018)},
pages = {3:1--3:15},
publisher = {LIPICS},
address = {114},
abstract = {There are several situations where the type of a street intersections can become very important, especially in the case of navigation studies. The types of intersections affect the route complexity and this has to be accounted for, e.g., already during the experimental design phase of a navigation study. In this work we introduce a formal definition for intersection types and present a framework that allows for extracting information about the intersections of our planet. We present a case study that demonstrates the importance and necessity of being able to extract this information.},
note = {Vortrag: 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne; 2018-08-28 -- 2018-08-31},
keywords = {experimental design, intersection types, Navigation},
pubstate = {published},
tppubtype = {inproceedings}
}
There are several situations where the type of a street intersections can become very important, especially in the case of navigation studies. The types of intersections affect the route complexity and this has to be accounted for, e.g., already during the experimental design phase of a navigation study. In this work we introduce a formal definition for intersection types and present a framework that allows for extracting information about the intersections of our planet. We present a case study that demonstrates the importance and necessity of being able to extract this information. |
Fogliaroni, Paolo; McCutchan, Marvin; Navratil, Gerhard; Giannopoulos, Ioannis Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling Inproceedings In: Winter, Stephan; Griffin, Amy; Sester, Monika (Ed.): Proceedings 10th International Conference on Geographic Information Science (GIScience 2018), pp. 26:1–26:6, LIPICS, 114, 2018, ISBN: 978-3-95977-083-5, (Vortrag: 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne; 2018-08-28 -- 2018-08-31). @inproceedings{fogliaroni18:26:1[TUW-271423],
title = {Unfolding Urban Structures: Towards Route Prediction and Automated City Modeling},
author = {Paolo Fogliaroni and Marvin McCutchan and Gerhard Navratil and Ioannis Giannopoulos},
editor = {Stephan Winter and Amy Griffin and Monika Sester},
url = {https://publik.tuwien.ac.at/files/publik_271423.pdf},
doi = {10.4230/LIPIcs.GIScience.2018.26},
isbn = {978-3-95977-083-5},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings 10th International Conference on Geographic Information Science (GIScience 2018)},
pages = {26:1--26:6},
publisher = {LIPICS},
address = {114},
abstract = {This paper extends previous work concerning intersection classification by including a new set of statistics that enable to describe the structure of a city at a higher level of detail. Namely, we suggest to analyze sequences of intersections of different types. We start with sequences of length two and present a probabilistic model to derive statistics for longer sequences. We validate the results by comparing them with real frequencies. Finally, we discuss how this work can contribute to the generation of virtual cities as well as to spatial configuration search.},
note = {Vortrag: 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne; 2018-08-28 -- 2018-08-31},
keywords = {graph theory, intersection types, spatial modeling, spatial structure},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper extends previous work concerning intersection classification by including a new set of statistics that enable to describe the structure of a city at a higher level of detail. Namely, we suggest to analyze sequences of intersections of different types. We start with sequences of length two and present a probabilistic model to derive statistics for longer sequences. We validate the results by comparing them with real frequencies. Finally, we discuss how this work can contribute to the generation of virtual cities as well as to spatial configuration search. |