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Algorithm for automatically generating a large number of speed curves of subway trains based on AlphaZero
- Chinese Journal of Intelligent Science and Technology Vol. 3, Issue 2, Pages: 179-184(2021)
- 作者机构：
1. 福建工程学院计算机科学与数学学院，福建 福州 350118
2. 福建工程学院交通运输学院，福建 福州 350118
3. 福州大学数学与计算机科学学院，福建 福州 350108
- 作者简介：
- 基金信息：The National Natural Science Foundation of China(61976055);The Special Fund for Education and Scientific Research of Fujian Provincial Department of Finance(GY-Z21001)
DOI：10.11959/j.issn.2096-6652.202118
CLC： TP520.20，TP580.99-
Published Online：2021-06，
Published：15 June 2021
- 稿件说明：
移动端阅览
Yuqi LU, Dewang CHEN, Zhaolin ZHAO. Algorithm for automatically generating a large number of speed curves of subway trains based on AlphaZero[J]. Chinese journal of intelligent science and technology, 2021, 3(2): 179-184.
Yuqi LU, Dewang CHEN, Zhaolin ZHAO. Algorithm for automatically generating a large number of speed curves of subway trains based on AlphaZero[J]. Chinese journal of intelligent science and technology, 2021, 3(2): 179-184. DOI： 10.11959/j.issn.2096-6652.202118.
摘要
在以往的地铁列车自动驾驶研究中，驾驶数据通常通过仿真生成单条运行曲线、对人工驾驶数据进行采样得到，不但实现方式比较复杂，而且效率较低、通用性不强。受AlphaZero系统启发，创新性地提出了人工生成虚拟地铁运行数据的思想。首先，根据一种五段式地铁列车速度曲线的运行方法，实现了虚拟数据的计算；然后，结合人类专家的经验设置牵引制动的区间分级、实际运行速度的分级、车站间距及变速距离分级等实际参数，缩小曲线数据范围，使其合理化；最后，通过Python编程得到大量数据，保存为数据集，绘制地铁列车运行时间频次分布图。通过观测发现，该虚拟数据覆盖各种运行时间，比传统数据更有利于地铁列车智能驾驶算法的研究。
Abstract
In the previous research on subway trains automatic driving
subway driving data is usually obtained through simulation to generate a single operating curve and manual driving data sampling.Not only is the implementation method more complicated
but also the efficiency is low and the versatility is not strong.Inspired by AlphaZero system
the idea of artificial generation of virtual metro operation data was put forward.Firstly
according to a running method of five section subway trains speed curve
the calculation of virtual data was realized.Then
combined with the experience of human experts
the actual parameters such as the classification of traction braking section
the classification of actual running speed
the classification of station spacing and variable speed distance were set to narrow the range of curve data and rationalize it.Finally
a large amount of data was obtained by Python programming
saved as a data set
and the frequency distribution map of subway trains operation time was drawn.It can be observed that the virtual data covers all kinds of operation time
which is more conducive to the research of subway trains intelligent driving algorithm than traditional data.
关键词
Keywords
references
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