[Profile picture of Ruben Verborgh]

Ruben Verborgh

Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach

Pieter Bonte, Mathias De Brouwer, Dörthe Arndt, Miel Vander Sande, Pieter Heyvaert, Anastasia Dimou, Pieter Colpaert, Ruben Verborgh, Filip De Turck, and Femke Ongenae

People increasingly rely on multi-modal (car, train, bus, e-bike, etc.) transport. However, current route planning does not allow the flexibility to seamlessly integrate users’ preferences and goals, different transport types, or adapt to disruptive traffic events. In this demonstrator, we showcase a context-aware semantic route planner that combines users’ individualized goals with geographical route planning using multi-modal transport modes. This means that the route planning can incorporate various goals of the user, e.g. visiting a friend or picking up an item, while the planner figures out the best order of visiting and the most suited transport modes. As transport is very dynamic, Stream Reasoning techniques are employed for real-time traffic monitoring. This allows the planner to automatically adapts the route when interruptions or obstructions, resulting in delays, are detected.

full text BibTeX other citation formats

Published in 2020 in Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks.

Keywords:

Read this article online

Cite this article in your work

Cite this article easily using its BibTeX entry: 

@inproceedings{bonte_iswc_poster_2020,
  author = {Bonte, Pieter and De Brouwer, Mathias and Arndt, D\"orthe and Vander Sande, Miel and Heyvaert, Pieter and Dimou, Anastasia and Colpaert, Pieter and Verborgh, Ruben and De Turck, Filip and Ongenae, Femke},
  title = {Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach},
  booktitle = {Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks},
  editor = {Taylor, Kerry and Gonçalves, Rafael and Lecue, Freddy and Yan, Jun},
  year = 2020,
  month = nov,
  series = {CEUR Workshop Proceedings},
  volume = 2721,
  issn = {1613-0073},
  pages = {54--59},
  url = {http://ceur-ws.org/Vol-2721/paper499.pdf},
}

Alternatively, pick a reference of your choice below:

ACM
Pieter Bonte, Mathias De Brouwer, Dörthe Arndt, Miel Vander Sande, Pieter Heyvaert, Anastasia Dimou, Pieter Colpaert, Ruben Verborgh, Filip De Turck, and Femke Ongenae. 2020. Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach. In Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks (CEUR Workshop Proceedings), 54–59.
APA
Bonte, P., De Brouwer, M., Arndt, D., Vander Sande, M., Heyvaert, P., Dimou, A., Colpaert, P., Verborgh, R., De Turck, F., & Ongenae, F. (2020). Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach. In K. Taylor, R. Gonçalves, F. Lecue, & J. Yan (Eds.), Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks (Vol. 2721, pp. 54–59).
IEEE
P. Bonte et al., “Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach,” in Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks, 2020, vol. 2721, pp. 54–59.
LNCS
Bonte, P., De Brouwer, M., Arndt, D., Vander Sande, M., Heyvaert, P., Dimou, A., Colpaert, P., Verborgh, R., De Turck, F., Ongenae, F.: Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach. In: Taylor, K., Gonçalves, R., Lecue, F., and Yan, J. (eds.) Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks. pp. 54–59 (2020).
MLA
Bonte, Pieter, et al. “Context-Aware Route Planning: a Personalized and Situation-Aware Multi-Modal Transport Routing Approach.” Proceedings of the 19th International Semantic Web Conference: Posters, Demos, and Industry Tracks, edited by Kerry Taylor et al., vol. 2721, 2020, pp. 54–59.

Discuss this article