Deducing individual driving preferences for user-aware navigation

Author:

Funke Stefan1,Laue Sören2,Storandt Sabine3

Affiliation:

1. Universität Stuttgart

2. Friedrich-Schiller-Universität, Jena

3. JMU Würzburg

Publisher

ACM

Reference21 articles.

1. Shuttle Radar Topography Mission. http://srtm.csi.cgiar.org 2015. Shuttle Radar Topography Mission. http://srtm.csi.cgiar.org 2015.

2. The OpenStreetMap Project. http://www.openstreetmap.org/ 2015. [Online]; accessed 01-Feb-2016]. The OpenStreetMap Project. http://www.openstreetmap.org/ 2015. [Online]; accessed 01-Feb-2016].

3. Discovering personalized routes from trajectories

4. A personal route prediction system based on trajectory data mining

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1. Efficient Mining of Volunteered Trajectory Datasets;Volunteered Geographic Information;2023-12-09

2. Inferring routing preferences from user-generated trajectories using a compression criterion;Journal of Spatial Information Science;2023-05-17

3. Scalable unsupervised multi-criteria trajectory segmentation and driving preference mining;Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data;2020-11-03

4. Context-aware, preference-based vehicle routing;The VLDB Journal;2020-03-11

5. Inferring the Parametric Weight of a Bicriteria Routing Model from Trajectories;Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2017-11-07

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