DocumentCode :
50161
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
Volume :
49
Issue :
15
fYear :
2013
fDate :
July 18 2013
Firstpage :
957
Lastpage :
958
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;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2013.1032
Filename :
6563270
Link To Document :
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