Virtual Spider for Real-Time Finding Things Close to Pedestrians

[1]  Ray Y. Zhong,et al.  A big data approach for logistics trajectory discovery from RFID-enabled production data , 2015 .

[2]  Giuseppina Passiante,et al.  A system dynamic approach for the smart mobility of people: Implications in the age of big data , 2019 .

[3]  İlker Erkan Cognitive Analysis of Pedestrians Walking While Using a Mobile Phone , 2017 .

[4]  Feng Qi,et al.  Trajectory data analyses for pedestrian space-time activity study. , 2013, Journal of visualized experiments : JoVE.

[5]  Bart Kuijpers,et al.  Analytical queries on semantic trajectories using graph databases , 2019, Trans. GIS.

[6]  C. Coulton,et al.  How Big is My Neighborhood? Individual and Contextual Effects on Perceptions of Neighborhood Scale , 2013, American journal of community psychology.

[7]  Péter Gáspár,et al.  Fuzzy similarities for road environment-type detection by a connected vehicle from traffic sign probabilistic data , 2020, ANT/EDI40.

[8]  Karine Zeitouni,et al.  Spatio-temporal compression of trajectories in road networks , 2014, GeoInformatica.

[9]  Ralf Hartmut Güting,et al.  Modeling and querying moving objects in networks , 2006, The VLDB Journal.

[10]  Ahmed Lbath,et al.  Towards a reactive system for managing big trajectory data , 2020, J. Ambient Intell. Humaniz. Comput..

[11]  Stefano Spaccapietra,et al.  Semantic trajectories modeling and analysis , 2013, CSUR.

[12]  Zhiwen Yu,et al.  Ubiquitous Intelligence and Computing , 2010, Lecture Notes in Computer Science.

[13]  Ahmed Lbath,et al.  A System Architecture for Heterogeneous Moving-Object Trajectory Metamodel Using Generic Sensors: Tracking Airport Security Case Study , 2015, IEEE Systems Journal.