The use of probe vehicles to provide estimates of link travel times has been suggested as a means of obtaining travel times within signalized networks for use in advanced traveler information systems (ATIS). Previous research has shown that bias in arrival time distributions of probe vehicles will lead to a systematic bias in the sample estimate of the mean .This paper proposes a methodology for reducing the effect of this bias. Then the paper brings forward a data fusion (DF) model based on loop detector data and FCD after considering above mentioned analytical results. In the paper, VISSIM is used to simulate an urban arterial site which contains five intersections and four links, at last the paper compares different link travel times during 10:00-10:05 within one week that are respectively obtained from floating car report alone and multi-source data (loop detector data and floating car data), and it yields a satisfactory result.
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