Effective data identification in travel time estimation based on cellular network signaling

摘要: The technology of travel time estimation based on cellular network has received much attention recently because its low cost, wide spread networks, and a large number phones as potential road traffic probes. However, in practice, positioning precision uncertain route determination caused by complex make it difficult to ensure the accuracy estimation. In this paper, we propose complete set model, including data preprocessing, map matching, state calculation. order avoid influence blindness choice calculation, effective identification model SVM is established, so turn problem into classification problem. experimental results show that, suburban environment can be solved rather efficiently.