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Bus arriving time prediction method and system based on floating data of the bus

A technology of time prediction and public transportation, which is applied in the field of intelligent transportation systems, can solve the problems that the accuracy is greatly affected by the transmission interval of GPS accuracy, and the static method is difficult to adapt to the road traffic state, the arrival time fluctuates back and forth, etc., to meet the system operating conditions Easy to satisfy, easy to popularize and apply, and the effect of small average error

Inactive Publication Date: 2009-03-18
TONGJI UNIV
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Problems solved by technology

The static method is difficult to adapt to the complex and changeable road traffic conditions. The defect of the dynamic method is that it only uses the GPS position and speed information of the bus to calculate the travel time and arrival time of the bus. Adjust the arrival time of the vehicle to the downstream station in real time. The prediction accuracy is greatly affected by the GPS accuracy and sending interval, which may cause the predicted arrival time to fluctuate back and forth

Method used

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  • Bus arriving time prediction method and system based on floating data of the bus
  • Bus arriving time prediction method and system based on floating data of the bus
  • Bus arriving time prediction method and system based on floating data of the bus

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Embodiment Construction

[0045]This method is a method of dynamically predicting bus arrival time based on the current situation and historical data. It takes a long time to accumulate historical data, and with the accumulation of historical data, the prediction results will be more accurate. Another important premise of this method is the collection, sorting and maintenance of the static data of the bus line. The more accurate the collected data, the better the estimation result.

[0046] Such as figure 1 As shown, the system consists of a static data management and maintenance module, a dynamic data acquisition module, a dynamic data processing module, a bus arrival time prediction module, a historical data update module, a bus arrival time release module, and a data storage module. These software modules are independent and can be installed on one machine or multiple machines according to the actual situation. The physical structure is as follows: Figure 6 shown.

[0047] Combine now image 3 D...

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Abstract

The invention relates to a bus arrival time prediction technique based on bus GPS data, which comprises sending out from the existing bus GPS data, making full use of auxiliary information such as pulling in, door opening and the like of a bus GPS apparatus, adopting a space dividing method to divide zones for bus lines, accounting the history arrival time of partitioned areas to each station in front according to the actual arrival time of a bus, and leading the bus arrival time to continuously do self-adapting update as the accumulation of history data, and meanwhile, predicating the bus arrival time by means of road traffic status which is calculated by GPS information of a taxi or road traffic status calculated by other systems, and improving the predicating accuracy.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic systems. Background technique [0002] With the continuous deepening of domestic intelligent transportation system research, buses equipped with GPS devices have been realized in more and more cities. These vehicles equipped with GPS devices can provide all operating records of buses, including vehicle location, travel speed, Door opening and closing status, station entry and exit status, and even passenger information. Then, because the bus travel time is affected by road traffic flow, intersection signal control, and passenger flow, the travel time between stations is an indeterminate value that is difficult to predict. [0003] There are two modes of static prediction and dynamic prediction in previous methods. Static prediction is to estimate the bus travel time through the regression analysis method of the bus travel time, the length between stations and the number of intersecti...

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Application Information

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IPC IPC(8): G08G1/00G08G1/01G08G1/123G01S1/02G01S5/02
Inventor 杨晓光储浩吴志周童梅蔡云
Owner TONGJI UNIV
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