Deriving Truck Route Choice from Large GPS Data Streams

Author(s):  
Mohammadreza Kamali ◽  
Alireza Ermagun ◽  
Krishnan Viswanathan ◽  
Abdul R. Pinjari
Keyword(s):  
2010 ◽  
Vol 19 (04) ◽  
pp. 393-415 ◽  
Author(s):  
MARTIN MOLINA ◽  
AMANDA STENT

In this article we describe a method for automatically generating text summaries of data corresponding to traces of spatial movement in geographical areas. The method can help humans to understand large data streams, such as the amounts of GPS data recorded by a variety of sensors in mobile phones, cars, etc. We describe the knowledge representations we designed for our method and the main components of our method for generating the summaries: a discourse planner, an abstraction module and a text generator. We also present evaluation results that show the ability of our method to generate certain types of geospatial and temporal descriptions.


2013 ◽  
Vol 45 (2) ◽  
pp. 263-275 ◽  
Author(s):  
Dominik Papinski ◽  
Darren M Scott
Keyword(s):  

2016 ◽  
Vol 44 ◽  
pp. 275-288 ◽  
Author(s):  
Luís Moreira-Matias ◽  
João Gama ◽  
Michel Ferreira ◽  
João Mendes-Moreira ◽  
Luis Damas

2016 ◽  
Vol 2587 (1) ◽  
pp. 141-149 ◽  
Author(s):  
Ranjit Khatri ◽  
Christopher R. Cherry ◽  
Shashi S. Nambisan ◽  
Lee D. Han
Keyword(s):  

2016 ◽  
Vol 51 ◽  
pp. 119-129 ◽  
Author(s):  
Wilner Ciscal-Terry ◽  
Mauro Dell'Amico ◽  
Natalia Selini Hadjidimitriou ◽  
Manuel Iori

2017 ◽  
Vol 75 ◽  
pp. 183-196 ◽  
Author(s):  
Maëlle Zimmermann ◽  
Tien Mai ◽  
Emma Frejinger

2014 ◽  
Vol 2430 (1) ◽  
pp. 155-161 ◽  
Author(s):  
Jeffrey M. Casello ◽  
Vladimir Usyukov
Keyword(s):  

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