Abstract
The noise data results from two aspects, technically, different mobile phones traveling on different roads may generate the same handover sequence; operationally, signal error in mobile communication network possibly causes wrong handover information. Second, four types of noise data are summarized, that is wrong sample data from signal error, passenger cell phone sample noise data beside roads, vehicle cell phone sample ones between parallel and overlapping roads. Third, hierarchy and K means cluster algorithms are applied with SPSS software for the collected sample data cleaning based on real handover data by try and trial to produce link travel speed, which is compared with practical traffic situation. Finally, historic loop data is used as the baseline to evaluate the accuracy compared with cleaned results.
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