Abstract
Traffic state evaluation from real-time floating car data is widely used. But the fact is some unvalued data doesn’t reflect the traffic state well and the evaluation’s accuracy decreases. In this paper, the evaluation algorithm is optimized by adjusting data selection, adding data filtration and using data weighting processing. Experiments were conducted and the result confirms high performance of our algorithm in evaluating traffic state.
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