Author(s)

Yiqian Huang, Liang Chen, Yanwen Xia, Xiuliang Qiu^*

Chengyi University College, Jimei University, Xiamen, China.

This paper is concerned with the design of expressway toll station problem based on neural network and traffic flow. Firstly, the design of the toll plaza is mainly through analyzing the daily traffic flow, different charging mode of construction cost and waiting time of the United States. Secondly, exploring traffic conditions is divided into two kinds, based on the traffic flow speed-density flow model. Then, a fuzzy-BP neural network model is constructed, with capacity, cost, and safety factor as the input layers and performance as the output layer. It is concluded that this scheme will reduce the occurrence of traffic accidents, so it is desirable. Considering that the increase in unmanned vehicles will lead to an increase in safety performance, we increase the number of electronic toll stations to improve security performance and reduce the occurrence of traffic accidents.

Toll Station, Traffic Flow, Fuzzy-BP Neural Network

Huang, Y. , Chen, L. , Xia, Y. and Qiu, X. (2018) Design of Expressway Toll Station Based on Neural Network and Traffic Flow. American Journal of Operations Research, 8, 221-237. doi: 10.4236/ajor.2018.83013.