Urban road network short-term traffic operation state estimation and prediction method

A technology of traffic operation status and urban road network, applied in the field of intelligent transportation, it can solve the problems of insufficient consideration in the space and time dimension.

Inactive Publication Date: 2020-07-07
SOUTHEAST UNIV
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Problems solved by technology

[0005] In order to solve the above problems, the present invention discloses a method for estimating and predicting the short-term traffic operation state of the urban road network, which solves the problem that the existing prediction methods are not comprehensive enough in terms of time and space, further improves the prediction accuracy, and is beneficial to future urban traffic managers. Provide accurate traffic information to users, and it is also of great significance to the construction of intelligent transportation system

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  • Urban road network short-term traffic operation state estimation and prediction method
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  • Urban road network short-term traffic operation state estimation and prediction method

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[0021] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0022] Explanation of some abbreviations of the present invention:

[0023] GASM (General adaptive smoothing method, generalized adaptive smoothing method),

[0024] TOPSIS (Technique for Order Preference by Similarity to an IdealSolution, based on the approach to the ideal point sorting method),

[0025] Bi-ConvLSTM (Bi-directional LSTM, bidirectional long and short-term memory network; CNN, Convolutional Neural Network, convolutional neural network, abbreviated after fusion as Bi-ConvLSTM, bidirectional convolutional long and short-term memory neural network).

[0026] Such as figure 1 Shown is the urban road network short-term traffic operating state estimation a...

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Abstract

The invention discloses an urban road network short-term traffic operation state estimation and prediction method, and the method comprises the following steps: (1) acquiring heterogeneous data, preprocessing the heterogeneous data, and reconstructing a speed field of a research unit by using a GASM algorithm by taking a road section between two signalized intersections of a city as the research unit; (2) constructing an urban road network spatial weight matrix, calculating spatial-temporal correlation between road sections, and identifying and quantifying fragile road sections by adopting TOPSIS; (3) taking an average value of the speed according to the reconstructed research unit speed field and selecting a reasonable fragile road section to construct a space-time characteristic matrix of the urban road network; (4) estimating and predicting the traffic state of the whole road network according to the Bi-ConvLSTM. According to the method, the heterogeneous data is fused to reconstruct the speed field of the research unit, and the prediction limitation caused by a single data source is solved; meanwhile, Bi-ConvLSTM is adopted to consider the traffic speed influence of the upstream and the downstream of the research unit, the space-time characteristics of the traffic flow are fully mined, and the prediction accuracy is further improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a method for estimating and predicting short-term traffic operation states of urban road networks. Background technique [0002] With the rapid development of social economy and the advent of the 5G information technology revolution, people's lives have become more convenient, and at the same time, it has brought new opportunities for the transportation industry. In particular, the rapid development of intelligent transportation is expected to solve traffic problems such as traffic congestion and traffic environment. [0003] Real-time monitoring of urban road traffic status and accurate release of traffic status information are important foundations for ensuring traffic safety and operating efficiency. According to the real-time traffic status information of the road, it can realize reasonable and scientific management and control of traffic, redu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06N3/04G06N3/08
CPCG08G1/0125G08G1/0129G08G1/0137G06N3/08G06N3/044G06N3/045
Inventor 任刚宋建华曹奇李豪杰李大韦张洁斐
Owner SOUTHEAST UNIV
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