Accurate travel time information acquisition is essential to the effective planning and management of bicycle travel conditions.\r\nTraditionally, video camera data have been used as the primary source for measuring the quality of bicycle travel time. This paper\r\ndeals with an investigation of bicycle travel time estimation on a short corridor, using Bluetooth sensors, based on field survey of\r\ntravel time at one arterial road in Hangzhou. Usually bicycle travel time estimates with Bluetooth sensors contain three types of\r\nerrors: spatial error, temporal error, and sampling error. To avoid these, we introduced filters to ââ?¬Å?purifyââ?¬Â the time series. A median\r\nfiltering algorithm is used to eliminate the outlier observations. The filtering scheme has been applied on Genshan East Road and\r\nMoganshan Road. Test data are used to measure the quality of bicycle travel time data collected by the Bluetooth sensors, and the\r\nresults show that the new technology is a promising method for collecting high-quality travel time data that can be used as ground\r\ntruth for evaluating other sources of travel time and other intelligent transportation system applications
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