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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Traffic Flow Forecast Based on Ga-Gm Model

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DOI: 10.25236/IIICEC.2019.051

Author(s)

Xiaohua Xu, Xiaofei Hu

Corresponding Author

Xiaohua Xu

Abstract

In recent years, with the increasing number of motor vehicles, traffic jams on urban roads have become more and more serious. Therefore, it is necessary to study road jams to accurately predict traffic flow, which is an important part of intelligent transportation. A ga-gm prediction model is proposed to predict and analyze traffic flow. Through collecting traffic flow data of a city intersection, simulation and prediction are carried out in matlab environment. The results show that the model has good prediction accuracy and certain practical value.

Keywords

Traffic Flow; Forecast; Neural Network; Ga-Gm Model