Title :
Approach to estimate travel time using sparsely sampled GPS data in urban networks
Author :
Hadachi, Amnir ; Mousset, Stephane ; Bensrhair, Abdelaziz
Author_Institution :
LITIS Lab., Nat. Inst. of Appl. Sci. of Rouen, St. Étienne du Rouvray, France
Abstract :
The aim of this reported work is to estimate travel time on urban road sections. The concerned roads are the ones with no dedicated sensing infrastructure and for which the only potentially available source of data is sparse GPS probe data. Presented is a new approach to solve this problem by using an applied particle filter method and historical probabilities distributions of travel time per road section.
Keywords :
Global Positioning System; estimation theory; particle filtering (numerical methods); road traffic; data source; historical probabilities distributions; particle filter method; sparse GPS probe data; sparsely sampled GPS data; travel time estimation approach; urban networks; urban road sections;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2013.1032