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A method for predicting bus ladder ticket price

A forecasting method and ticket price technology, applied in forecasting, special data processing applications, instruments, etc., can solve problems such as high cost, impact on industry development, and difficulty in understanding passengers' money investment, so as to achieve high forecasting accuracy and improve query speed , optimized pressure effect

Active Publication Date: 2018-12-07
成都智达万应科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, although the traditional bus system adopts on-board equipment such as global positioning system GPS and automatic passenger counting, which can obtain massive data, it cannot detect abnormal trends in the industry in time from these massive data, which leads to the inability of the management department to make timely and accurate management Behavior that affects the development of the industry
[0004] Urban public passenger transport is the artery of the city. On the premise of ensuring social benefits, public transport companies also expect to obtain certain economic benefits. When evaluating the benefits of urban public transport planning, the important analysis parameter for evaluation is passenger transport revenue; however, the traditional ones have It is difficult to manage the revenue of buses with tiered fares. It is difficult to understand the passenger’s investment situation. Grasp the revenue of each car every time, and the daily revenue; its defects and deficiencies include:
[0005] 1) Failure to grasp and predict the revenue of each car every day;
[0006] 2) Mainly rely on manual investigation, it is difficult to be regular, systematic and comprehensive, and the cost is high

Method used

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  • A method for predicting bus ladder ticket price
  • A method for predicting bus ladder ticket price
  • A method for predicting bus ladder ticket price

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] Such as figure 1 As shown, a bus ladder fare prediction method includes the following steps:

[0061] a. Create database Sqlserver;

[0062] b. Collect the returned data, and transmit the returned data to the database Sqlserver; the returned data includes vehicle ID, door closing time, door closing time, number of people getting on and off, and GPS data of the door opening location;

[0063] c. Clean the returned data, generate station information table, line information table, vehicle line association table, station ladder fare table, line passenger flow table and line station distance table;

[0064] d. Periodically migrate the data in the database Sqlserver to the distributed system storage database HBase;

[0065] e. According to the station information table, line information table, vehicle line association table, station ladder fare table, line passenger flow table and line station distance table, calculate the forecasted revenue data of a certain car for a day....

Embodiment 2

[0068] On the basis of embodiment 1, this embodiment also includes the following steps:

[0069] Compare and evaluate the actual revenue data with the predicted revenue data. If the ratio is between 0.95-1.05, the predicted revenue data is valid; otherwise, it is invalid, and the predicted revenue data is calculated again.

[0070] This technical solution is used to calculate the fare forecast revenue. After calculating the predicted revenue value of a line, it is compared with the real revenue data. After testing, the accuracy of the algorithm is more than 95%. It can be used as the basis for revenue, mastering and forecasting Bus revenue, which is convenient for the management and arrangement of fares, transportation routes, and train numbers for vehicles.

Embodiment 3

[0072] In this embodiment, on the basis of embodiment 2, said step a includes the following steps:

[0073] Optimize the database Sqlserver. If the amount of data stored in the database Sqlserver exceeds 2G, partition and create a partition index. When the amount of data stored in the database Sqlserver exceeds 2G, partition the table, create a partition index, optimize the query, and improve the query speed. The query speed can reach hundreds of thousands per second, and the database throughput can reach 100MB / s.

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Abstract

The invention discloses a method for predicting bus ladder ticket price, the method including: establishing a database Sqlserver; collecting returned data; cleaning the returned data, generating a station information table, a route information table, a vehicle route association table, a station ladder ticket price table, a route passenger flow table and a route station distance table; periodically migrating data from the database Sqlserver to the distributed system storage database HBase; according to the station information table, calculating the route information table, the vehicle route association table, the station ladder ticket price table, the route passenger flow table and the route station transportation distance table, the vehicle forecast revenue data. The method can grasp andpredict the bus revenue in real time, facilitates ticket price and revenue management, is low in cost, and realizes regular, systematic and comprehensive management.

Description

technical field [0001] The invention relates to the technical field of data prediction, and in particular to a method for predicting ticket prices of public transport ladders. Background technique [0002] With the development of intelligent transportation technology (ITS), on-board equipment such as global positioning system GPS and automatic passenger counting are increasingly widely used, which can automatically complete the records of the number, time and location of passengers getting on and off the bus in real time, and truly reflect the getting on and off of each time period and section The passenger flow of the car. The large amount of data resources it has obtained has created conditions for a comprehensive and quantitative analysis of the distribution of bus passenger flow. [0003] However, although the traditional bus system adopts on-board equipment such as global positioning system GPS and automatic passenger counting, which can obtain massive data, it cannot ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q10/04
CPCG06Q10/04
Inventor 王博严俊
Owner 成都智达万应科技有限公司