Research on the driving strategy of heavy-haul train based on improved genetic algorithm
The driving safety of heavy-haul train is affected by the train’s traction weight, the length of train, the line profile, the line speed limit, and other factors. Generally, when the train is running on a continuously long and steep downgrade line, it needs using the circulating air braking to adjus...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2018-08-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814018791016 |
| _version_ | 1818117924775264256 |
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| author | Youneng Huang Shuai Bai Xianhong Meng Huazhen Yu Mingzhu Wang |
| author_facet | Youneng Huang Shuai Bai Xianhong Meng Huazhen Yu Mingzhu Wang |
| author_sort | Youneng Huang |
| collection | DOAJ |
| description | The driving safety of heavy-haul train is affected by the train’s traction weight, the length of train, the line profile, the line speed limit, and other factors. Generally, when the train is running on a continuously long and steep downgrade line, it needs using the circulating air braking to adjust speed. When it is braking, the brake wave is transmitted non-linearly along the direction of the train. When it is relieved, it must be ensured that there is sufficient time for the train to be inflated. Therefore, it is difficult to ensure the safe operation of the heavy-haul train. In this article, a new method of the train’s driving strategy based on improved genetic algorithm is proposed. First, a mathematical model for the operation of heavy-haul train is established with multiple parameters. Then, according to the improved genetic algorithm and the mathematical model of the heavy-haul train, the driving strategy of the chromosome of the train is studied. Finally, the driving curve which can ensure the safe running of the heavy-haul train can be obtained. By comparing the simulated driving curve with the actual one, the results show the effectiveness of the proposed method. |
| first_indexed | 2024-12-11T04:46:09Z |
| format | Article |
| id | doaj.art-d596ab5c6a0748c5a700e3b8c19a5af9 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-11T04:46:09Z |
| publishDate | 2018-08-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-d596ab5c6a0748c5a700e3b8c19a5af92022-12-22T01:20:31ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402018-08-011010.1177/1687814018791016Research on the driving strategy of heavy-haul train based on improved genetic algorithmYouneng Huang0Shuai Bai1Xianhong Meng2Huazhen Yu3Mingzhu Wang4State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaShuo Huang Railway Development Co., Ltd., Suning, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaThe driving safety of heavy-haul train is affected by the train’s traction weight, the length of train, the line profile, the line speed limit, and other factors. Generally, when the train is running on a continuously long and steep downgrade line, it needs using the circulating air braking to adjust speed. When it is braking, the brake wave is transmitted non-linearly along the direction of the train. When it is relieved, it must be ensured that there is sufficient time for the train to be inflated. Therefore, it is difficult to ensure the safe operation of the heavy-haul train. In this article, a new method of the train’s driving strategy based on improved genetic algorithm is proposed. First, a mathematical model for the operation of heavy-haul train is established with multiple parameters. Then, according to the improved genetic algorithm and the mathematical model of the heavy-haul train, the driving strategy of the chromosome of the train is studied. Finally, the driving curve which can ensure the safe running of the heavy-haul train can be obtained. By comparing the simulated driving curve with the actual one, the results show the effectiveness of the proposed method.https://doi.org/10.1177/1687814018791016 |
| spellingShingle | Youneng Huang Shuai Bai Xianhong Meng Huazhen Yu Mingzhu Wang Research on the driving strategy of heavy-haul train based on improved genetic algorithm Advances in Mechanical Engineering |
| title | Research on the driving strategy of heavy-haul train based on improved genetic algorithm |
| title_full | Research on the driving strategy of heavy-haul train based on improved genetic algorithm |
| title_fullStr | Research on the driving strategy of heavy-haul train based on improved genetic algorithm |
| title_full_unstemmed | Research on the driving strategy of heavy-haul train based on improved genetic algorithm |
| title_short | Research on the driving strategy of heavy-haul train based on improved genetic algorithm |
| title_sort | research on the driving strategy of heavy haul train based on improved genetic algorithm |
| url | https://doi.org/10.1177/1687814018791016 |
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