High-speed train dynamic scheduling and operation control collaborative optimization method and system

A dynamic scheduling and collaborative optimization technology, applied in the control system of the transportation center, transportation and packaging, railway car body parts, etc., can solve complex and huge passenger flow problems, and achieve the effect of reducing delay time

Inactive Publication Date: 2021-09-21
NORTHEASTERN UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The complexity of the road network and the huge passenger flow pos

Method used

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Example Embodiment

[0021] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention.

[0022] In this embodiment, a high-speed train operation schedule sections scenario Shanghai railroad, Intel Corei7-7700 processor configured to select, 8GB of memory computer, using software simulation environment built MATLAB2018a, the present invention provides a high-speed train operation and dynamic scheduling coordination optimization method and system simulation.

[0023] figure 1 It is a high-speed train operation and dynamic scheduling of the present invention is a control block diagram of the collaborative optimization system, the high-speed train operation and control of dynamic scheduling collaborative optimization system, comprising: a dynamic scheduling module 101, "Scheduling - Control" interface module 102, the execution control module 103, "control - scheduling" feedback interface module

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Abstract

The invention discloses a high-speed train dynamic scheduling and operation control collaborative optimization method and system, and relates to the technical field of high-speed train dynamic scheduling and operation control. The method comprises the following steps: 1, acquiring train operation information of a dispatching section; 2, establishing a train dynamic scheduling model which comprises a train scheduling objective function and constraint conditions; 3, solving a dispatching scheme of train dynamic dispatching by utilizing an ant colony algorithm to obtain an adjusted actual working diagram; 4, generating a feasible optimized speed position curve according to the adjusted actual working diagram, interval basic conditions and train basic parameters; and 5, tracking the optimized speed position curve. The method can achieve the dynamic scheduling of train delay, generates a new scheduling scheme, executes the scheduling scheme through the operation control module, reduces the train delay time, recovers the normal operation of a train, breaks through the boundary of a dynamic scheduling system and an operation control system, and achieves the integrated cooperation of dynamic scheduling and operation control.

Description

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Claims

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Application Information

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Owner NORTHEASTERN UNIV
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