Agent-Based Integrated Intelligent Parallel Scheduling System for Station Area

In order to improve the intelligence and integration level of railway technical operation station and enhance the optimal allocation and efficient scheduling of station resources, an intelligent scheduling system is built based on the artificial system, computational experiment, parallel execution (ACP) method. It compiles data, empirical and mechanism, and its data compilation method supports the normal operation of the intelligent scheduling system. The artificial scheduling system is constructed by introducing multi-agent modeling, and the controllable factors and random disturbance factors under different scheduling scenarios are considered in the calculation experiment. The system is managed and controlled by constructing the railway transportation operation in parallel execution. Finally, the simulation experiment of station area scheduling has been completed, and its results demonstrate that it can not only improve the overall operation efficiency of the railway technical station, but also further enhance the overall operation efficiency of the station area.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/dtpi61353.2024.10778685
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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Agent-Based Integrated Intelligent Parallel Scheduling System for Station Area

Fenghua Zhu, Dewang Chen, Gang Xiong, Kejie Xu et al.
Advanced Manufacturing and Logistics Optimization
article

Agent-Based Integrated Intelligent Parallel Scheduling System for Station Area

Fenghua Zhu, Dewang Chen, Gang Xiong, Kejie Xu, Shichao Chen, Yi Mi
article en

Abstract

In order to improve the intelligence and integration level of railway technical operation station and enhance the optimal allocation and efficient scheduling of station resources, an intelligent scheduling system is built based on the artificial system, computational experiment, parallel execution (ACP) method. It compiles data, empirical and mechanism, and its data compilation method supports the normal operation of the intelligent scheduling system. The artificial scheduling system is constructed by introducing multi-agent modeling, and the controllable factors and random disturbance factors under different scheduling scenarios are considered in the calculation experiment. The system is managed and controlled by constructing the railway transportation operation in parallel execution. Finally, the simulation experiment of station area scheduling has been completed, and its results demonstrate that it can not only improve the overall operation efficiency of the railway technical station, but also further enhance the overall operation efficiency of the station area.

China Mobile (China) (CN), Chinese Academy of Sciences (CN), Institute of Automation (CN), Fujian University of Technology (CN)
China Railway
Openalex Percentile: Top 67%
Advanced Manufacturing and Logistics Optimization
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Agent-Based Integrated Intelligent Parallel Scheduling System for Station Area — Fenghua Zhu, Dewang Chen, et al. · (2024) | TGRS Research Map | TGRS