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A Methodology for Denoising and Generating Bus Infrastructure Data
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A Methodology for Denoising and Generating Bus Infrastructure Data

Category : GSM-GPS


Sub Category : GSM & GPS


Project Code : ITGP10


Project Abstract

Together with the availability of new mobility data, the development of new intelligent transport systems (ITS) have increased, in order to provide new key performance indicators toward the improvement of the management of traffic awareness in cities. ITS rely on accurate transit infrastructure data that often contain erroneous information (e.g., inconsistencies or is out of date). In this paper, we propose a new methodology that makes use of GPS traces to automatically detect or correct bus stop locations, reconstruct bus route shapes, and estimate time schedules. The methodology performs different steps: 1) data cleaning and detection of trips; 2) bus stop extraction through data mining techniques; 3) route shape reconstruction; and 4) time schedule estimation. A case study using real GPS data from the City of Dublin, Ireland, is performed.

Existing System

Proposed System

Ø  Existing systems we want to wait long time in bus stop .

Ø  No way to find  the bus location

 

 

Drawbacks:

Ø  Time wastage

Ø  Low reliability

Ø   

Ø  In proposed system, we don’t want to wait long time in bus stop .

Ø  Through gps we find the bus location.

 

 

Advantage:

Ø  Time saving

Ø  Low cost

Ø  High reliability

 

 
 
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