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Method and system for filling missing floating car data

A floating car data and data technology, which is applied in the field of data processing, can solve the problem that real-time floating car data cannot completely cover the road network, etc.

Inactive Publication Date: 2016-01-06
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At home and abroad, there are many technical researches on floating car acquisition systems, which generally focus on cost, floating car scale, system structure and accuracy, etc. However, due to the unique mobility of floating car data and the limitation of floating car scale, real-time Floating car data cannot completely cover the road network. Appropriate estimation and fitting methods can make up for the incompleteness of road network state expression caused by missing data and improve application efficiency. Therefore, it is practical to explore the information interpolation method when floating car data is missing. Meaning, this is also the main problem to be solved by the present invention

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  • Method and system for filling missing floating car data

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Embodiment Construction

[0055] Traffic data actually has time and space correlation. On the one hand, in the same location or in the same area, within a certain period of time, people's travel actually has a certain regularity with a time cycle. Then this regularity is reflected in periodicity and similarity: the change of traffic data between each week (periodic degree is 7) presents an obvious periodicity; the same week is similar from Monday to Friday, while Saturday and week The same day, and the data on the same day in different weeks are extremely similar. On the other hand, traffic data also has spatial correlation. Since the road network is an organic whole, it is composed of road sections and nodes, and there are road links between nodes. Due to the similarity of travel rules and travel modes of urban residents, the traffic flow changes of road network nodes have similar characteristics, and the average traffic speed of each area is affected by the traffic speed of the road sections connec...

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Abstract

The invention provides a method and system for filling missing floating car data. The method includes the following steps of: data screening, map matching, gridding, interpolation region and time determination and missing data interpolation. According to the method and system of the invention, data can have integrity through interpolation. The method and system can be used for estimating traffic congestion degree, calculating road section traffic speed and releasing current traffic announcements so as to provide conveniences for the travel of people.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for filling missing floating car data. Background technique [0002] GPS (Global Positioning System) floating vehicle information collection technology, as an emerging traffic information dynamic collection technology, has many advantages such as all-weather, strong real-time performance, low detection cost, high data accuracy, and wide collection range, and has been recognized by domestic and foreign ITS experts and With the unanimous attention of enterprises, certain theoretical achievements and application implementation have been achieved. In 1991, the United States proposed ADVANCE, a real-time road condition publishing system based on floating cars, which became the main test project of the dynamic vehicle navigation system. Germany's traffic data system DDG uses 4,000 road traffic sensors and 25,000 acquisition vehicles from BMW and Volkswagen ...

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Application Information

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IPC IPC(8): G08G1/01
Inventor 赵毅刘璐
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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