论文标题
伊斯坦布尔的智能旅程：智能城市中的移动应用程序，用于利用时间序列，用于交通估算
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series
论文作者
论文摘要
近几十年来，移动应用程序（应用程序）已广受欢迎。智能城市的智能服务越来越受到关注。拟议研究的主要目标是通过使用交通密度数据，在伊斯坦布尔的交通拥堵预测上提出一个新的AI驱动移动应用程序。它通过使用时间序列方法（LSTM，Transformer和XGBoost）根据流量负载数据集与气象条件相结合的过去数据来解决研究问题。根据MAPE，MAE和RMSE等性能指标，将讨论对预测模型的仿真结果的分析。然后，观察到变压器模型做出了最准确的流量预测。预计开发的流量预测原型将是适合公民日常使用的移动应用程序的未来产品的起点。
In recent decades, mobile applications (apps) have gained enormous popularity. Smart services for smart cities increasingly gain attention. The main goal of the proposed research is to present a new AI-powered mobile application on Istanbul's traffic congestion forecast by using traffic density data. It addresses the research question by using time series approaches (LSTM, Transformer, and XGBoost) based on past data over the traffic load dataset combined with meteorological conditions. Analysis of simulation results on predicted models will be discussed according to performance indicators such as MAPE, MAE, and RMSE. And then, it was observed that the Transformer model made the most accurate traffic prediction. The developed traffic forecasting prototype is expected to be a starting point on future products for a mobile application suitable for citizens' daily use.
