Short-time flow prediction method based on ETC portal system

Abstract

The invention relates to a short-time flow prediction method based on an ETC portal system in the technical field of traffic information. The method comprises steps of extracting historical vehicle passing data in a to-be-predicted road segment, and collecting sample flow data according to lanes; flow change floating values of all lanes in different time periods of two or more adjacent days beingcalculated respectively, and then a change floating average value being obtained through calculation; selecting two or more than two adjacent ETC gantries in the same passing direction of the expressway section to be predicted, and counting historical traffic flow data; acquiring RSU antenna data of each lane of the ETC portal in the same time period according to the ETC portal in the to-be-predicted road section, converting the RSU antenna data into a traffic volume data matrix, and calculating real-time flow of each lane of the road network in different time periods; multiplying the obtainedlane real-time flow data by the corresponding floating average value to obtain a flow prediction value. The method is advantaged in that an ETC portal system-based short-time flow prediction method provided by the invention is rapid and convenient in data acquisition, high in flow data updating efficiency and rapid and accurate in prediction.

Description

technical field [0001] The invention relates to the technical field of traffic information, in particular to a short-term traffic forecasting method based on an ETC gantry system. Background technique [0002] With the continuous development of my country's economy, the level of urbanization is deepening, and people's requirements for a better life are also increasing. As an important channel between cities, expressways are also playing an increasingly important role. With the rapid increase in the number of residents' private cars and the city's increasing demand for supplies, the traffic flow of expressways shows a trend of continuous and rapid increase. The increasing traffic volume not only makes the highway more congested, but also increases the probability of traffic accidents. Existing traffic flow calculation methods generally analyze the data generated by the intersection point established on the expressway. The existing traditional prediction is to use the inters...

AI Technical Summary

Problems solved by technology

Disadvantages of the prior art in forecasting traffic flow through intermodulation data include that intermodulation data collects traffic volume data of a certain section, which cannot be subdivided into lanes; the distribution density of interim points is not uniform, and fine calculation cannot be performed