Variable techniques have been used to collect traffic data and estimate traffic conditions. In most cases, more than one technology\nis available. A legitimate need for research and application is how to use the heterogeneous data from multiple sources and provide\nreliable and consistent results. This paper aims to integrate the traffic features extracted from the wireless communication records\nand the measurements from the microwave sensors for the state estimation. A state-space model and a Progressive Extended\nKalman Filter (PEKF) method are proposed.The results from the field test exhibit that the proposed method efficiently fuses the\nheterogeneous multisource data and adaptively tracks the variation of traffic conditions. The proposed method is satisfactory and\npromising for future development and implementation.
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