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A conventional bus adjustment method for rail transit collinear section

A technology of rail transit and public transportation, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., and can solve the problems of reduced operating efficiency

Active Publication Date: 2021-04-30
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After the opening of rail transit, the operating efficiency of conventional buses is reduced due to the transfer of passenger flow in the common line section, and the impact of dense bus lines on road capacity remains unchanged.

Method used

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  • A conventional bus adjustment method for rail transit collinear section
  • A conventional bus adjustment method for rail transit collinear section
  • A conventional bus adjustment method for rail transit collinear section

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0160] In this example, the research is carried out on the common-line section of rail transit line 1 between Hubin East Road and Lianhua Intersection in City A, and the traffic capacity of the bus-only lane with one roadside + two straight-line bus stops is regarded as the passable section of the rail line. Regular bus capacity. The distribution of 27 bus lines in the downlink direction selected from Hubin East Road as a transfer station shows that the traffic capacity of the entire section of the same line can be constrained by studying the traffic capacity of the common line section from Hubin East Road to Lianhua Intersection. This example investigates the road section of the rail transit line 1 between Hubin East Road and Lianhua Intersection in City A on August 14, 2017. According to the GPS data and Carry out instance calculations on bus swiping card data.

[0161] According to the data obtained from the survey, T c = 170s, a three =0.45m / s 2 , t′ 绿 = 53s,t 间 = ...

Embodiment 2

[0182] This example studies the common-line section of the rail transit line 1 between Hubin East Road and Lianhua intersection in city A, and uses line 1* as an example to illustrate the calculation. Among them, the parameters of the calculation process are set as follows: according to the actual situation of city A, the morning peak is set to 7:30-8:30; according to the actual situation of city A, the rated passenger capacity of regular buses is set uniformly P=70 people / vehicle; The full load rate between different lines is different, and the maximum full load rate of conventional buses is uniformly set Θ = 120%; the maximum departure interval of different groups is not considered, and the maximum departure interval Θ is uniformly set m =30min; Regardless of the difference in the ratio of card swiping data and total passenger flow of conventional bus lines on different routes, according to the bus company’s knowledge that card swiping data in city A accounts for about 66% of...

Embodiment 3

[0203] In this example, the study is carried out on the collinear section of rail transit line 1 between Hubin East Road and Lianhua Intersection in City A, and the departure schedules of the 8 bus lines that need to be adjusted in the collinear section are adjusted. Among them, the parameters of the calculation process are as follows: according to the actual situation of city A, the morning peak is set to 7:30-8:30; the rated passenger capacity of conventional buses is set uniformly P = 70 people / vehicle; the load rate between different lines is not considered Different, uniformly set the maximum full load rate of conventional buses Θ = 120%; regardless of the difference in the maximum departure interval of different groups, uniformly set the maximum departure interval Θ m =30min; Regardless of the difference in the ratio of card swiping data to total passenger flow of conventional bus lines on different lines, according to the bus company’s knowledge that card swiping data in...

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Abstract

The invention relates to a method for adjusting regular bus departure schedules in the common-line section of rail transit. The GPS data of the bus is used to determine the bus flow in peak hours, and the traffic capacity of the bus-only lane in the common-line section of the rail transit is obtained as the traffic volume of conventional buses passing through the common-line section of the rail transit. Limit value, to determine the number of vehicles in the peak hour of the regular bus line that cancels the collinear section; a modeling method based on maximizing the average full load rate of the minimum peak hour for regular bus departures and reducing shifts, using the bus swiping card data to calculate the average full load rate, as Maximize the minimum average full load rate optimization objective function, take the limit value of conventional bus traffic volume, the maximum departure interval, and the maximum full load rate as constraints in the collinear section of rail transit, and establish the optimization of regular bus departure and frequency reduction in the collinear section of rail transit Mathematical model, and use the single-step serial greedy algorithm to solve the model.

Description

technical field [0001] The invention relates to the technical fields of urban traffic planning, big data analysis and mining, and comprehensive application, and in particular to a method for conventional bus adjustment in rail transit collinear sections under the constraint of traffic capacity of dedicated bus lanes. Background technique [0002] With its advantages of safety, energy saving, large transport capacity, no pollution, and land saving, rail transit gradually occupies a dominant position in the construction of public transportation in large cities in my country, and the route direction of rail transit and the main routes of conventional buses are all along the urban passenger flow corridor layout. Before the opening of rail transit, conventional buses were the main public transport in the city. In order to meet the travel requirements of passengers, the bus lines in the sections with large passenger flow demand are generally dense, the traffic congestion is serious...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/00G08G1/01G08G1/123
Inventor 高悦尔王成田秀珠崔紫薇崔洁曹堉
Owner HUAQIAO UNIVERSITY