论文标题
应用机器学习来预测波兰华沙的公交运输行为
Applying machine learning to predict behavior of bus transport in Warsaw, Poland
论文作者
论文摘要
如今，可以收集描述公共交通运动的精确数据。具体而言，可以定期收集每个总线（或电车）地质数据数据。这包括波兰华沙的所有公交车的数据。此外，可以下载和分析此数据。在这种情况下，最简单的问题之一是：是否可以构建模型来代表公共汽车的行为并预测其延迟。这项工作提供了我们试图回答这个问题的初步结果。
Nowadays, it is possible to collect precise data describing movements of public transport. Specifically, for each bus (or tram) geoposition data can be regularly collected. This includes data for all buses in Warsaw, Poland. Moreover, this data can be downloaded and analyzed. In this context, one of the simplest questions is: can a model be build to represent behavior of busses, and predict their delays. This work provides initial results of our attempt to answer this question.
