Bi-objective traffic count location model for mean and covariance of origin–destination estimation

作者：

Highlights：

• The stochastic OD demand are considered in traffic count location problem.

• A bi-objective optimization model considers mean and covariance estimation error.

• The proposed model is applicable to the case where the estimates are zero.

• A surrogate-assisted genetic algorithm is proposed to solve the established model.

摘要

•The stochastic OD demand are considered in traffic count location problem.•A bi-objective optimization model considers mean and covariance estimation error.•The proposed model is applicable to the case where the estimates are zero.•A surrogate-assisted genetic algorithm is proposed to solve the established model.

论文关键词：Traffic count location,Origin–destination estimation,Covariance matrix,Bi-objective optimization,Surrogate-assisted genetic algorithm

论文评审过程：Received 31 August 2019, Revised 29 November 2020, Accepted 30 December 2020, Available online 5 January 2021, Version of Record 12 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114554