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Bus driver intelligent scheduling method based on segmentation combination optimization

A combined optimization and driver technology, applied in the field of scheduling, can solve problems such as driver fatigue, insufficient intelligence of scheduling, and insufficient shift balance

Active Publication Date: 2021-01-19
ANHUI FUHUANG TECH CO LTD
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  • Abstract
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  • Claims
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: how to solve the existing intelligent scheduling method. During the scheduling process, the balance of the scheduled shifts is not good enough, which may easily cause fatigue of the driver, and the scheduling is not intelligent enough. The use of the scheduling method has brought some problems, and an intelligent scheduling method for bus drivers based on segmentation and combination optimization is provided

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  • Bus driver intelligent scheduling method based on segmentation combination optimization
  • Bus driver intelligent scheduling method based on segmentation combination optimization
  • Bus driver intelligent scheduling method based on segmentation combination optimization

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Embodiment Construction

[0042] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0043] Such as figure 1 As shown, the present embodiment provides a technical solution: a method for intelligent scheduling of bus drivers based on segmentation and combination optimization, comprising the following steps:

[0044] Step 1: Collect basic line data sets, passenger flow data sets, and operational data sets through the data collection module;

[0045] Step 2: Based on the historical operation and passenger flow data analysis and prediction of the average travel time, departure frequency and departure interval of each peak section of the route under different days and different weathers through the mod...

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Abstract

The invention discloses a bus driver intelligent scheduling method based on segmentation combination optimization. The method comprises the following steps: step 1, acquiring a line basic data set, apassenger flow data set and an operation data set through a data acquisition module; 2, predicting the average driving time, the departure frequency and the departure interval of each peak section ofthe route on different dates and in different weather through a driving plan making model module according to historical operation and passenger flow data analysis, and establishing a model to generate an initial driving plan table in combination with other basic static data in a data acquisition module; and step 3, on the basis of the initial driving schedule, according to constraint conditions such as the daily standard working duration of the driver and the weight value thereof, enabling a combined optimization analysis module to perform segmenting, combining and optimization. According tothe method, the balance degree of the scheduling plan working duration of the driver is improved, the working duration standard of the driver is met to the maximum extent, and potential safety hazardssuch as ultra-long working and fatigue driving cannot be caused.

Description

technical field [0001] The invention relates to the field of scheduling methods, in particular to an intelligent scheduling method for bus drivers based on segmentation and combination optimization. Background technique [0002] In the intelligent public transportation system, the core is the intelligent public transportation dispatching system, and the core of the public transportation dispatching system is the driving plan and driver scheduling, which involves the optimization of resource allocation in various aspects such as people, vehicles, fields, stations, lines, etc., so , The driving plan and driver scheduling plan and results directly affect the management ability and operational efficiency of the bus company. However, at present, most of the bus companies in my country are still at the level of formulating driving plans and driver scheduling based on personnel experience and using manual methods, which can no longer meet the growing needs of smart buses. Many tran...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06Q10/06G06Q10/04G06Q50/26G06F17/10G08G1/123
CPCG06Q10/1093G06Q10/04G06Q10/06315G06F17/10G06Q50/26G08G1/123
Inventor 任子晖高洪昌王晓娟张超赵玉坤曹培宋刘思琦倪金林潘宇闫其筠
Owner ANHUI FUHUANG TECH CO LTD
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