DocumentCode
2235689
Title
Probe vehicle sample sizes for travel time estimation on equipped motorways
Author
Cohen, S. ; Bosseboeuf, JL ; Schwab, N.
Author_Institution
INRETS, France
fYear
2002
fDate
2002
Firstpage
172
Lastpage
176
Abstract
This paper presents the dimensioning of a fleet of probe vehicles on motorways equipped with fixed measuring stations. The interurban network concerned, managed by ASF Company, is well adapted to such an analysis. It is equipped with a high density of double loops stations, making it possible to estimate travel times on various sections of the network with an acceptable accuracy. The site and the characteristics of the data collection system are described. Thereafter, an algorithm of calculation of the travel time is developed and validated. It is based on the measurements provided by the loop sensors located on the road section links. A database of travel times -considered as travel times of reference-is thus made up. It provides knowledge on the statistical indicators of the travel time. The sample sizes of probe vehicles can then be determined. Traffic states are taken into account through a preliminary segmentation in levels of service. A sensitivity analysis of the main factors influencing the size of the samples is carried out while the limits of the exercise are also identified. Conclusions include a comparison between the probe vehicles approach and the traditional practices in road traffic management
Keywords
road vehicles; sensitivity analysis; traffic engineering computing; data collection system; double loops stations; equipped motorways; fixed measuring stations; interurban network; loop sensors; motorways; probe vehicle fleet dimensioning; probe vehicle sample sizes; road section links; road traffic management; sensitivity analysis; statistical indicators; travel time database; travel time estimation;
fLanguage
English
Publisher
iet
Conference_Titel
Road Transport Information and Control, 2002. Eleventh International Conference on (Conf. Publ. No. 486)
Conference_Location
London
ISSN
0537-9989
Print_ISBN
0-85296-746-2
Type
conf
DOI
10.1049/cp:20020227
Filename
1031647
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