signalized intersection operation state prediction method and system based on an LSTM model

A technology of operation status and prediction method, applied in the field of intelligent transportation technology management, to achieve high universality, ease urban traffic congestion, and reduce delays
CN109800908AInactive Publication Date: 2019-05-24BEIJING JIAOTONG UNIV
2 Cites 8 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING JIAOTONG UNIV
Publication Date
2019-05-24
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a signalized intersection operation state prediction method and system based on an LSTM model. The method comprises the steps that floating vehicle data of a certain area are acquired through the mobile internet; extracting related data matched with a certain signalized intersection within a certain period of time according to the floating vehicle data, and screening the data; performing normalization processing on the screened data, dividing the data into a training data set and a test data set, training the data in the training data set through an LSTM model, and testing the trained model through the test data set to obtain a prediction model of the signalized intersection; and predicting the operation state of the signal intersection through newly collected real-time data according to the obtained prediction model of the signal intersection. According to the method, the operation state of the signal intersection is predicted through the mobile internet floating vehicle data, and the traffic operation efficiency of the signal intersection area is improved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of intelligent transportation technology management, in particular to a method and system for predicting the operating state of a signalized intersection based on an LSTM model. Background technique

[0002] With the development of the mobile Internet, it becomes more convenient to collect floating car data based on the smart phone of the owner of the floating car. Based on this, a large amount of floating car data can be obtained for traffic congestion identification, traffic status determination, and formulation of traffic control strategies.

[0003] At present, domestic management and control methods for signalized intersections mainly include timing control, induction control and adaptive control. However, the above-mentioned existing management control methods often lead to control optimization at signalized intersections after a relatively high travel delay. That is to say, the current control methods lack the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More