City bus departure timetable optimization method

A technology for urban public transport and optimization methods, applied in data processing applications, forecasting, computing, etc., can solve problems such as difficulty in data acquisition, and achieve the effect of reducing workload, saving manpower and time consumption, and being widely available for trial use.

Inactive Publication Date: 2015-11-11
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the current domestic bus timetables that are mainly made manually, and the difficulty in obtaining bus operation and

Method used

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  • City bus departure timetable optimization method
  • City bus departure timetable optimization method
  • City bus departure timetable optimization method

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Embodiment Construction

[0055] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0056] like figure 1 Shown: The bus line is an urban line, the first and last stations are the North Square of the Railway Station and the National Defense Park, with a total length of about 20 kilometers and 18 intermediate stations. A total of 6 buses are responsible for the daily operation of this line, with a multi-level fare of 1-3 yuan, and the implementation of swiping cards for getting on and off the bus. At present, the scheduling mode of this line is a regular schedule. In this embodime...

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Abstract

The invention discloses a city bus departure timetable optimization method. Passenger flow demand and traffic conditions along a bus line are extracted according to historical card swiping data acquired by a bus on-board AFC card swiping system, city bus departure timetable optimization is abstracted into a problem of nonlinear optimization based on the passenger flow demand and traffic conditions, and a city bus timetable is optimized by adopting a genetic algorithm. The passenger flow demand and traffic conditions along a bus line can be extracted only according to the card swiping data of the bus on-board AFC card swiping system, and a city bus timetable is optimized by adopting the genetic algorithm. Therefore, manual participation is reduced greatly, the waste of manpower and time is reduced effectively, and the operation efficiency of buses and the level of service can be improved.

Description

technical field [0001] The invention relates to the field of urban public transport dispatching, in particular to a method for optimizing an urban public transport schedule. Background technique [0002] Bus timetable is the core component of ground bus dispatching, and it is also the key to influence the formulation of bus operation plan. A well-designed bus timetable can effectively improve the carrying capacity, operating efficiency and service quality of buses, thereby enhancing bus attraction and improving urban traffic congestion. The main problem to be solved in the optimization of bus timetable is how to effectively and rationally allocate the time of each bus arriving and leaving each platform, so as to make it adapt to the changing law of bus demand and traffic conditions along the route. [0003] At present, the formulation of traditional ground bus timetables in my country is still based on manual formulation, that is, the departure interval and vehicle personne...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 陆振波王拓李晔寒安成川饶文明吕伟韬张韦华马党生
Owner SOUTHEAST UNIV
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