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Taxi GPS big data-based customized bus line planning method

A technology for determining bus routes and methods, applied to the determination of alighting stations, customizing bus traffic areas and on-board areas, and can solve problems such as increasing the time required for passengers to travel and reducing the efficiency of bus travel

Inactive Publication Date: 2018-01-19
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the bus adopts fixed-line and fixed-point operation mode, the bus traveling on the main road of the city tends to enter the traffic jam area, which reduces the efficiency of bus travel and increases the time required for passengers to travel

Method used

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  • Taxi GPS big data-based customized bus line planning method
  • Taxi GPS big data-based customized bus line planning method
  • Taxi GPS big data-based customized bus line planning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0162] Such as Figure 4 As shown in Fig. 1, select a certain area in Shenzhen to divide the customized bus traffic districts in the Arcgis software in GIS. Because the custom-made bus is a kind of bus and has direct access, the acceptance range for passengers to arrive at the boarding station will be relatively large. Here, if a=1000 meters, there are 76 traffic districts in total, respectively labeled 1-76, The getting on and off site of each traffic area is its center.

Embodiment 2

[0164] Select the GPS data of taxis from 7:30 to 8:3 on a working day in Shenzhen to get the number of passengers getting on and off in these 16 traffic districts, and then plan the customized bus routes corresponding to single stations. Such as Figure 5As shown, choose as many urban expressways and main roads as possible. For Shenzhen City, urban expressways, expressways, national roads, provincial roads and county roads are mainly considered. Therefore, paired connections form 256=16×16 bus lines, L(i) is the i∈{1,2,...,256} bus line, the boarding station is start(i), and the getting off station is end( i). According to the relevant provisions of the "Code for Planning and Design of Urban Road Traffic", the main line length of urban trams and buses should be 8-12 km, so the minimum line length is set as L in this paper. minlong = 12km, then there is the line L(13) from the 1st cell to the 13th cell, the line L(14) from the 1st cell to the 14th cell, and the line L(14) fro...

Embodiment 3

[0169] Select the taxi GPS data from 7:30 to 8:30 on a four-day working day in Shenzhen to obtain the number of passengers getting on and off in 16 traffic districts and the line L(13) from the first district to the 13th district. Line L(15) from the 1st cell to the 15th cell, line L(16) from the 1st cell to the 16th cell, line L(64) from the 4th cell to the 16th cell These four customized bus lines are evaluated to see if their operation is reasonable. A total of D = 4 days of data, the original data is divided into k = 2 subsets of data in the smallest unit of day, each subset of data contains sky.

[0170] When the first subset of data is used as the test set, the second subset is used as the training set. At this time, the set of open lines L is obtained from the training set. 1 ={L 1,13 , L 1,15 , L 1,16 , L 1,64} and each line in D train = the total number of passengers within 2, and combined with the passenger car seat layout specifications and principles, the m...

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Abstract

The invention relates to the technical field of transport line planning, and discloses a method for determining customized bus traffic zones and get-on / get-off stations, a customized bus line planningmethod which is based on the determined get-on / get-off stations and enables each single station to correspond to another single station, a method for evaluating rationality of customized bus lines onthe basis of K-fold cross validation, and a taxi GPS big data-based customized bus line planning method. Compared with the prior art, existing taxi GPS big data is utilized to a greater extent to putforward a better traffic zone division method and a better line planning method and a better line evaluation method, so that better reference basis is provided for the development of customized buses.

Description

technical field [0001] The present invention relates to the technical field of traffic route planning, in particular to a method for determining a customized bus traffic area and a boarding and disembarking station based on the origin and destination of passenger travel; A customized bus route planning method; a method based on K-fold cross-validation to evaluate the rationality of customized bus operating routes; a customized bus route planning method based on taxi GPS data. Background technique [0002] At present, the development status of the public transportation system in many cities in my country is not very ideal. There are problems such as inconvenient transfers, crowded people, and poor service quality, which makes the proportion of public transportation travel lower than other travel modes as a whole. In order to improve the competitiveness of public transportation and meet the diverse and multi-level needs of urban residents and tourists, customized public transp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06Q50/30G08G1/01
Inventor 王成崔紫薇高悦尔崔洁阚小溪李弼程李海波傅顺开何霆
Owner HUAQIAO UNIVERSITY
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