Calibration of microsimulation traffic model using neural network approach

作者：

Highlights：

• To apply traffic simulation model in local conditions, it is necessary to calibrate the model.

• A new calibration method by using computer software was analyzed..

• A neural network is applicable in the process of calibration of the micro-simulation model.

• VISSIM micro-simulation model is used for calibration done at the example of urban roundabouts..

• The calibration method is applicable in the VISSIM as well as in other micro-simulation models.

摘要

•To apply traffic simulation model in local conditions, it is necessary to calibrate the model.•A new calibration method by using computer software was analyzed..•A neural network is applicable in the process of calibration of the micro-simulation model.•VISSIM micro-simulation model is used for calibration done at the example of urban roundabouts..•The calibration method is applicable in the VISSIM as well as in other micro-simulation models.

论文关键词：Calibration,Microsimulation traffic model,VISSIM,Neural network,Roundabout,Validation

论文评审过程：Available online 10 May 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.003