A neural network approach for traffic prediction and routing with missing data imputation for intelligent transportation system

作者：

Highlights：

• Traffic Simulation that models live traffic.

• Traffic congestion prediction using neural network.

• Missing data imputation using historically weighted averages.

• Vehicle rerouting system that is robust to missing data is developed.

摘要

•Traffic Simulation that models live traffic.•Traffic congestion prediction using neural network.•Missing data imputation using historically weighted averages.•Vehicle rerouting system that is robust to missing data is developed.

论文关键词：Neural network,Traffic prediction,Traffic modelling,Data imputation,Rerouting system

论文评审过程：Received 10 December 2019, Revised 28 July 2020, Accepted 2 January 2021, Available online 6 January 2021, Version of Record 23 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114573