Predicting the Traffic Volume of Expressway Sections Based on OD Investigation

The traffic volume of highway sections is the key to carrying out highway network renovation and expansion planning, maintenance engineering scheme design, and investment benefit analysis. At present, the cross-sectional traffic volume is mainly collected through observation stations. Due to the limited coverage of traffic volume observation stations, it is often difficult to obtain traffic volume information for the required sections of the project, which affects the accuracy of later analysis results. This paper proposes a method for predicting traffic volume at any section along a highway using vehicle registration information at the entrance and exit of the highway. Firstly, use data mining tools to obtain the OD investigation probability matrix of traffic volume along the highway. Secondly, based on the grey theory model, predict the unknown traffic volume of the section to be tested, and combine the unknown traffic volume prediction results to calculate the traffic volume data of any entrance, exit, and route. Finally, calculate the traffic volume of any section along the project.