Traffic Data Imputation

Traffic Data Imputation refers to the technique of filling in missing values in traffic data sequences, aiming to restore complete time series data through advanced algorithms. The goal of this technology is to enhance the accuracy and reliability of the data, ensuring the effectiveness of data analysis. In intelligent transportation systems, Traffic Data Imputation holds significant value for real-time monitoring, flow prediction, and route planning applications, as it can notably improve system performance and decision quality.