Polynomial-trend-filtering-based OD matrix estimation method

A matrix estimation, polynomial technology, applied in computing, traffic control systems for road vehicles, instruments, etc., can solve problems such as adverse effects of prediction effects, no longer satisfying basic static assumptions of AR process, and adverse effects of real-time calculation.

Inactive Publication Date: 2016-09-28
XIHUA UNIV
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Problems solved by technology

When the traffic travel demand changes, the demand deviation no longer satisfies the basic static assumption of the AR process, and the occurrence of this non-static situation will have a negative impact on the entire forecasting effect
In addition, the high-order AR model also needs to calibrate the autocorrelation factors offline, and the corresponding dimension expansion processing method will bring adverse effects on real-time calculations, and is not suitable for real-time regulation of large-scale traffic networks.

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Embodiment Construction

[0078] The present invention will be further described below in conjunction with the accompanying drawings.

[0079] The OD matrix estimation method based on polynomial trend filtering in the present invention, in order to more accurately describe the dynamic traffic flow evolution process, obtain the optimal unbiased estimation of the state, and consider that the polynomial trend model is especially suitable for the deviation analysis of a large amount of data, the present invention is based on Ashoke's research work defined the deviation of the estimated OD flow relative to its historical value as a random evolution process with a sliding trend, and established a polynomial trend filtering model based on the Kalman filter theory to estimate and predict the dynamic OD matrix.

[0080] The present invention is based on the OD matrix estimation method of polynomial trend filtering, specifically comprises the following steps:

[0081] The transportation network is defined as a d...

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Abstract

The invention discloses a polynomial-trend-filtering-based OD matrix estimation method. A state variable is defined as a deviation of an actual OD flow relative to a historical value and the deviation is described as a random evolution process having a sliding trend; and then a polynomial trend filter model is established to realize estimation and prediction of a dynamic OD matrix. With the method, an optimal deviation-free estimation of a state can be obtained and a dynamic traffic flow evolution process can be described precisely.

Description

technical field [0001] The invention relates to an OD matrix estimation method based on polynomial trend filtering. Background technique [0002] In recent years, convenient and efficient transportation has brought great convenience to people's work and life, but the following problems are the increasing traffic congestion and the number of traffic accidents, and traffic pollution is becoming increasingly serious. After years of research and practice, experts in the field of transportation agree that Intelligent Transportation System (ITS) is the best way to effectively solve ground transportation problems. Among them, dynamic adaptive traffic management and control is the goal of ITS research and application. The occurrence of traffic incidents and the control of road traffic will regulate and affect the supply capacity of the road network. At the same time, traffic guidance information will also have an impact on travel demand. , and the changing law and interaction relat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06Q10/04
CPCG08G1/0104G06Q10/04
Inventor 江竹雷震宇
Owner XIHUA UNIV
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