A semantic model for human mobility in an urban region
Article dans une revue avec comité de lecture
Résumé
The continuous development and complexity of many modern cities offer many research challenges for urban scientists searching for a better understanding of mobility patterns that happen in space and time. Today, very large trajectory datasets are often publicly generated thanks to the availability of many positioning sensors and location-based services. However, the successful integration of mobility data still requires the development of conceptual and database frameworks that will support appropriate data representation and manipulation capabilities. The research presented in this paper introduces a conceptual modeling and database management approach for representing and analyzing human trajectories in urban spaces. The model considers the spatial, temporal and semantic dimensions in order to take into account the full range of properties that emerge from mobility patterns. Several object data types and data manipulation constructs are developed and experimented on top of an urban dataset testbed currently available in the city of Beijing. The interest of the approach is twofold: first, it clearly appears that very large mobility datasets can be integrated in current extensible GIS; second, significant patterns can be derived at the database manipulation level using some specifically developed query functions.
Fichier(s) constituant cette publication
- Nom:
- IRENAV_JDS_2018_CLARAMUNT.pdf
- Taille:
- 1.769Mo
- Format:
- Description:
- Article principal
Cette publication figure dans le(s) laboratoire(s) suivant(s)
Documents liés
Visualiser des documents liés par titre, auteur, créateur et sujet.
-
Article dans une revue avec comité de lectureThe continuous development and complexity of many modern cities offer many research challenges for urban scientists searching for a better understanding of mobility patterns that happen in space and time. Today, very large ...
-
Article dans une revue avec comité de lectureYOU, Lan; PENG, Jiaheng; JIN, Hong; CLARAMUNT, Christophe; ZENG, Haoqiu; ZHANG, Zhen (Elsevier BV, 2024-03-28)Aspect-based sentiment classification has become a popular topic in natural language processing. Exploiting dependency syntactic information with graph neural networks has recently become a popular trend. Despite their ...
-
Article dans une revue avec comité de lectureRoute planning is an important problem for many real-time applications in open and complex environments. The maritime domain is a relevant example of such environments where dynamic phenomena and navigation constraints ...
-
Article dans une revue avec comité de lectureThis paper surveys indoor spatial models developed for research fields ranging from mobile robot mapping, to indoor location-based services (LBS), and most recently to context-aware navigation services applied to indoor ...
-
Article dans une revue avec comité de lectureMental representations of spatial knowledge are organized hierarchically. Among people familiar with an urban environment, common spatial knowledge from these spatial mental representations enables successful communication ...