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Dynamic Travel Speed Collection Technology Based on Low Frequence FCD
ZHU Li,YANG Dong-yuan
2008, 8(4):
42-48 .
Intelligent transportation system (ITS) is one effective method of solving traffic problems currently. Furthermore, distribution and prediction of dynamic traffic information are the key problems of ITS. However, because of all kinds of external factors, the traffic condition characterizes in randomicity, which results in great difficulties in distribution and prediction of dynamic traffic information. According to the actuality of a certain city, a kind of brand new dynamic travel speed collection technology based on low frequence FCD is introduced in the paper. First, the empty probe taxi data processing algorithm is brought forward to improve the precision of the techniques. Second, map matching algorithm based on distance, angle, connectivity, as well as historical data is presented to solve the problem of complex and similar sections. Finally, the travel speed estimation and data fusion algorithm is provided, and its precision is verified.
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