Method for predicting travel time of vehicle passing through intersection based on neural network

Abstract

The invention discloses a method for predicting the travel time of a vehicle passing through an intersection based on a neural network, belongs to the field of intelligent traffic systems, and mainly aims to accurately predict the time of the vehicle passing through the intersection under the condition that the vehicle is jammed at the intersection and under the influence of traffic lights. The method comprises the following steps of: (1) dividing urban roads; (2) performing intersection data collection; (3) performing data processing; and (4) inputting processed data to a BP neural network to carry out iterative learning of the model, and obtaining a relationship between traffic parameters and travel time, thereby achieving the purpose of predicting time. According to the method, the complex condition of the intersection is fully considered, the advantages of the neural network model are utilized, the travel time of the vehicle passing through the intersection is predicted, and reliable information can be provided for subsequent driving route selection of a driver.

Description

technical field [0001] The invention relates to the field of intelligent traffic systems, in particular to a method for predicting the travel time of a vehicle passing through an intersection based on a neural network. Background technique [0002] With the continuous development of my country's social economy and the continuous growth of urban population, the rapid growth of vehicles has led to increasing traffic pressure in major cities in my country, increasing the travel time of residents. In order to improve travel efficiency, drivers have an urgent need for travel time prediction. Among them, the complex situation of intersections makes it difficult to predict the time for vehicles to pass through intersections. Therefore, accurate prediction of travel time for vehicles through intersections Become the focus of research in the field of intelligent transportation and academia. [0003] Intersection travel time prediction is an important part of traffic forecasting. In...

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to address the above problems, and propose a neural network-based method for predicting the travel time of vehicles passing through intersections, aiming to solve the problem of predicting the travel time of vehicles passing through intersections in the context of intersections

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