Bus passenger flow detection method based on bus GPS and mobile phone signaling data

A GPS data and mobile phone signaling technology, applied in traffic flow detection, service signaling, traffic control systems, etc., can solve the problems of poor data continuity, uneven sampling interval, and low positioning accuracy of mobile phone signaling data, and reduce Investment and high accuracy

Inactive Publication Date: 2019-10-08
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, mobile phone signaling data has problems such as low positioning accuracy

Method used

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  • Bus passenger flow detection method based on bus GPS and mobile phone signaling data
  • Bus passenger flow detection method based on bus GPS and mobile phone signaling data
  • Bus passenger flow detection method based on bus GPS and mobile phone signaling data

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Embodiment Construction

[0037] A bus passenger flow detection method based on bus GPS and mobile phone signaling data in this embodiment. The mobile phone signaling traces of the passengers on the vehicle should appear continuously with the GPS traces of the vehicle in the space-time domain. The method draws continuous space-time based on the vehicle GPS track; the mobile phone users whose signaling tracks appear continuously in the space-time and meet the criteria to be judged are passengers on the vehicle; according to the signaling data before and after the mobile phone user gets on and off the bus, it is judged car site. The method comprises the steps of:

[0038] 1) Obtain the bus schedule GPS data;

[0039] Sort bus GPS data according to route, vehicle and time, and divide by shift; the GPS data sequence Gps of a shift=(g i ,i=1,2,3,...,n), where g i For the GPS positioning data sorted in ascending order of time for this shift, use the ternary vector g i =(lo, la, t) represents, represents...

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Abstract

The invention provides a bus passenger flow detection method based on bus GPS and mobile phone signaling data, which comprises the following steps: 1) bus shift GPS data are acquired; 2) based on thebus GPS data, a continuous space-time lattice is generated; 3) based on the space-time lattice, a signaling sequence located in the space-time lattice is extracted; 4) by using the signaling sequence,a bus following user signaling data link is generated; 5) by adopting the signaling data link, on and off stops of each user are calculated; 6) non-walking candidate signaling data links with over short bus following are eliminated; and 7) the data of each shift obtained according to steps 2) to 6) are counted to calculate bus OD data. The bus travel OD is calculated from a data source obtained in the invention, investment in special equipment for passenger flow detection is reduced, and the bus travel OD calculation accuracy is higher than other methods.

Description

technical field [0001] The invention relates to a bus passenger flow detection method based on bus GPS and mobile phone signaling data. Background technique [0002] The effect of bus network planning and vehicle scheduling is affected by the accuracy of bus travel demand prediction. The statistics of the number of people between stations and sections of each shift on the line is a prerequisite for accurate prediction of bus travel demand. At present, based on bus swiping card data, there are certain problems in the number of passengers getting on and off between stations obtained by vehicle-mounted crowd detection technology. For example, the former often cannot obtain the alighting data, and there is a problem of card penetration rate; the latter can only count the number of people getting on and off at a single point , unable to obtain inter-site traffic. [0003] With the improvement of living conditions and the reduction of mobile phone prices and tariffs, the penetra...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04W4/20
CPCG08G1/0137H04W4/20
Inventor 陈迎迎
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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