Method for forecasting travel time between bus stops

A technology of travel time and prediction method, which is applied in the field of information processing, can solve problems such as insufficient robustness, and achieve the effect of improving prediction accuracy and prediction efficiency

Active Publication Date: 2012-07-25
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In view of the insufficient robustness of the conventional Kalman filter model in the process of predicting the travel time of buses, the purpose of the invention is to provide a more adaptable method for predicting the travel time between bus stops

Method used

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  • Method for forecasting travel time between bus stops
  • Method for forecasting travel time between bus stops
  • Method for forecasting travel time between bus stops

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Embodiment Construction

[0039] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0040] Such as figure 1 Shown is the flow chart of the method for predicting the travel time between bus stations, which will be further explained in conjunction with examples below.

[0041] (A) Collect bus operation route information, bus operation information and bus GPS operation data.

[0042] In this step, the bus operation route information includes the direction of the bus route, the route mileage, the position of the bus stop and the number of stops N c , road...

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Abstract

The invention discloses a method for forecasting travel time between bus stops on the basis of self-adaptive attenuation Kalman filtering, including steps of acquiring data of the history travel time of a bus between bus stops by the aid of a vehicle-mounted GPS (global position system) device, and then forecasting the future travel time of the bus between bus stops by a self-adaptive attenuation filtering forecasting model. Affection of history data to filtering is suppressed by introducing forgetting factors so as to ensure the vantage ground of new information during the forecasting process, and accordingly the defects of filtering divergence and computing divergence of a conventional forecasting model are overcome. Besides, an exponential declined noise model is used as a filtering start value, the forecasting precision and efficiency of the model is improved effectively. In addition, the method overcomes the defect of poor robustness of the conventional Kalman filtering, and has the advantages of high forecast precision, convenience in computing and high practicability.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method for predicting travel time between bus stations. Background technique [0002] Urban public transport is the most efficient and cost-effective form of road transport in modern cities. Improving the level of public transport services and enhancing the attractiveness of public transport travel are of great significance to the efficient use of road transport facility resources, the alleviation of urban traffic congestion, and the improvement of the living environment. Among them, accurate and reliable bus travel time prediction technology is the basis for improving public transport service levels, rationally dispatching bus vehicles, and providing passengers with timely and necessary transfer information. [0003] The road traffic conditions have the characteristics of spatiotemporal distribution and change with time and road sections, which makes it difficu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00
Inventor 王炜王宝杰杨敏
Owner SOUTHEAST UNIV
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