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Data fusion technology-based traffic condition estimation method

A technology of traffic status and data fusion, which is applied in the field of traffic status estimation based on data fusion technology, can solve the problems of inaccurate state estimation and large errors, and achieve the effect of overcoming inaccurate state estimation

Inactive Publication Date: 2010-06-16
SHANGHAI SECOND POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0005] In view of the above problems, the main purpose of the present invention is to address the deficiencies in the prior art, to propose a new method for estimating the state of traffic flow in urban road networks based on data fusion, to overcome the inaccurate state estimation and error caused by a single data source. big disadvantage

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  • Data fusion technology-based traffic condition estimation method

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Embodiment Construction

[0029] The preferred embodiments of the present invention are given below in conjunction with the accompanying drawings to describe the technical solution of the present invention in detail. figure 1 The flow chart of the estimation method of urban road network traffic conditions, such as figure 1 As shown, the traffic condition estimation method based on data fusion technology provided by the present invention comprises the following steps:

[0030] (1). Collect traffic condition information on the road surface through sensors;

[0031] (2). Preprocessing the sensor data collected by the sensor in step (1);

[0032] (3). Use the Bayesian network method to fuse the collected sensor data with the current weather and time;

[0033] (4). Estimate traffic conditions through the data obtained after fusion processing.

[0034] Described below:

[0035] 1. Data preprocessing

[0036] The input data required by the present invention are as figure 2 As shown, it includes the cur...

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Abstract

The invention discloses a data fusion technology-based traffic condition estimation method. The method comprises the following steps: acquiring current traffic condition information by using a GPS, an annular vehicle detector and other sensors based on the principle that much information is helpful for estimating the traffic condition more accurately, then preprocessing the traffic condition information, and performing fusion processing on the traffic condition information and sensor data of weather, time period and different moments together by adopting a Bayesian network to acquire accurate information of the current traffic condition. Besides the current sensor date, the method takes multiple other factors influencing the traffic condition into consideration, and performs fusion processing so as to avoid inaccurate judgment problem brought by single sensor information. The traffic condition estimation method is particularly suitable for traffic environments of large cities.

Description

technical field [0001] The invention relates to a method for estimating traffic conditions, in particular to a method for estimating traffic conditions based on data fusion technology which overcomes the disadvantages of inaccurate state estimation and large errors caused by a single data source. Background technique [0002] With the development of the world's automobile industry and the increasing popularity of family cars, road traffic congestion has become an important problem in urban traffic; on the other hand, the rapid progress of information technology has brought opportunities for comprehensive solutions to traffic problems. It is against this background that advanced traffic information management systems have received widespread attention prior to other systems of intelligent transportation systems, and have been rapidly developed in countries all over the world. They are used in dynamic route planning, dynamic navigation, road network adjustment Coordinate traff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
Inventor 陈林魏淑桃石林祥
Owner SHANGHAI SECOND POLYTECHNIC UNIVERSITY
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