无人驾驶项目CC-TCMS通信中断场景探讨及优化

doi:10.3969/j.issn.1673-4440.2024.04.015

铁路通信信号工程技术 ›› 2024, Vol. 21 ›› Issue (4): 89-95.DOI: 10.3969/j.issn.1673-4440.2024.04.015

无人驾驶项目CC-TCMS通信中断场景探讨及优化

夏振东，胡欢

卡斯柯信号有限公司，北京 100070

收稿日期:2021-11-23 修回日期:2024-03-01 出版日期:2024-04-25 发布日期:2024-04-25
作者简介:夏振东（1987—），男，高级工程师，本科，主要研究方向：ATC列车自动控制，邮箱：xiazhendong@casco.com.cn。

Discussion and Optimization of CC-TCMS Communication Interruption Scenarios of FAO Project

Xia Zhendong, Hu Huan

CASCO Signal Ltd., Beijing 100070, China

Received:2021-11-23 Revised:2024-03-01 Online:2024-04-25 Published:2024-04-25

摘要/Abstract

摘要： 相较于传统有人驾驶项目，全自动运行（Fully Automatic Operation，FAO）项目拥有更加复杂的场景,依据场景开发的系统代替人工，能够有效协调各系统的联动。针对复杂工况下的故障处理，FAO项目也有相应的应对方式，在提高自动化程度的同时，让乘客能够得到更好的出行体验。针对无人驾驶项目可能出现的车载控制器(Carborne Controller，CC)与列车控制管理系统(Train Control Management System，TCMS)通信中断的故障场景，进行现有项目处理方式的介绍及分析，并根据列车所在位置不同，分别给出合理的优化建议，为后续项目针对此故障场景的系统处理，提供一种思路。

关键词: 全自动无人驾驶, 蠕动模式, 通信中断

Abstract: Compared with the traditional manned projects, the FAO projects have more complex scenarios, and the system developed according to the scenarios can replace the manual and effectively coordinate the linkage of various systems. The FAO projects also have corresponding ways to deal with faults under complex working conditions, so as to improve the degree of automation, and at the same time passengers can get a better travel experience. In view of the fault scenarios of communication interruption between Carborne Controller (CC) and Train Control Management System (TCMS) that may occur in FAO projects, this paper introduces the treatment methods of the existing projects. According to different train locations, the author gives reasonable optimization suggestions respectively, which provides a way of thinking for the system treatment of the fault scenarios in subsequent projects.

Key words: FAO, Creep Automatic Mode (CAM), communication interrupt

中图分类号:

U231+.7

夏振东, 胡欢. 无人驾驶项目CC-TCMS通信中断场景探讨及优化[J]. 铁路通信信号工程技术, 2024, 21(4): 89-95.

Xia Zhendong, Hu Huan. Discussion and Optimization of CC-TCMS Communication Interruption Scenarios of FAO Project[J]. Railway Signalling & Communication Engineering, 2024, 21(4): 89-95.

图/表 10

参考文献

[1]包叙定.“十三五” 城轨交通发展形势及未来发展趋势分析[J].都市快轨交通，2018，31（1）：4-11.
Bao Xuding. Status Quo and Future: Development of Urban Rail Transit during the 13th Five-Year Plan Period[J]. Urban Rapid Rail Transit, 2018, 31(1): 4-11.
[2]李晶.城轨全自动驾驶信号系统方案设计及运营场景分析[J].铁道通信信号，2016，52（2）：48-52.
Li Jing. Scheme Design and Scenarios Analysis of Signal System with Full Automation Operation for Urban Mass Transit[J]. Railway Signalling & Communication, 2016, 52(2): 48-52.
[3]张艳兵，戴克平.自主化全自动运行系统研究与应用[J].都市快轨交通，2017，30（6）：1-6.
Zhang Yanbing, Dai Keping. Research and Application of Independently Developed Fully Automatic Operation System[J]. Urban Rapid Rail Transit, 2017, 30(6): 1-6.
[4]张艳兵，王道敏，肖衍.城市轨道交通全自动驾驶的发展与思考[J].铁道运输与经济，2015，37（9）：70-74.
Zhang Yanbing, Wang Daomin, Xiao Yan. Development and Thoughts on Full-Automatic Operation of Urban Rail Transit[J]. Railway Transport and Economy, 2015, 37(9): 70-74.
[5]肖衍，苏立勇.轨道交通全自动驾驶系统集成技术研究[J].中国铁路，2015（5）：109-113.
Xiao Yan, Su Liyong. Research on Integrated Technology of Automatic Driving System for Rail Transit[J]. China Railway, 2015(5): 109-113.
[6]罗运真.基于ATO控制结构的地铁列车智慧节能技术[J].铁道通信信号，2019，55(1):75-78.
Luo Yunzhen.Metro Train Smart Energy-Efficient Method Based on ATO Control Structure[J].Railway Signalling & Communication, 2019, 55(1):75-78.
[7]马晓娜,朱爱红,卢稳.基于灰色预测模糊PID控制的列车ATO系统优化[J].铁道标准设计，2018，62(8):163-167.
Ma Xiaona,Zhu Aihong,Lu Wen.Optimization of Train ATO System Based on Gray Predictive Fuzzy PID Control[J].Railway Standard Design, 2018, 62(8):163-167.
[8]徐杰,郜洪民,孟军.城市轨道交通列车自动驾驶各阶段速度控制算法的研究[J].铁路计算机应用，2012，21(11):50-53.
Xu Jie,Gao Hongmin,Meng Jun.Research on Speed Control Algorithm of Automatic Train Operation in Urban Transit[J].Railway Computer Application, 2012, 21(11):50-53.
[9]邓红元.城市轨道交通信号系统发展展望[J].现代城市轨道交通，2020（8）：33-37.
Deng Hongyuan. Development Prospect of Urban Rail Transit Signaling System[J]. Modern Urban Transit, 2020(8): 33-37.
[10]付文佳，韩涛，刘倩，等.基于场景的全自动运行系统安全分析方法[J].铁路通信信号工程技术，2023，20（12）：83-87.
Fu Wenjia, Han Tao, Liu Qian, et al. Scenario-Based Safety Analysis Method for Fully Automatic Train Operation Systems[J]. Railway Signalling & Communication Engineering, 2023, 20(12): 83-87.
[11]吴大武.城轨线路ATO系统控车策略优化[J].铁路通信信号工程技术，2022，19（12）：60-63，79.
Wu Dawu. Optimization of Train Control Strategy of ATO System for Urban Rail Line[J]. Railway Signalling & Communication Engineering, 2022, 19(12): 60-63, 79.
[12]薛文静，张东海.自学习算法在列车自动驾驶系统的应用[J].铁路通信信号工程技术，2022，19（10）：68-72.
Xue Wenjing, Zhang Donghai.Application of Self-Learning Algorithm in Automatic Train Operation System[J]. Railway Signalling & Communication Engineering, 2022, 19(10): 68-72.
[13]张帆.列车自动驾驶(ATO)季节性调节方案探讨[J].铁路通信信号工程技术，2024，21（1）：87-91.
Zhang Fan. Discussion on Seasonal Regulation Scheme of Automatic Train Operation[J]. Railway Signalling & Communication Engineering, 2024, 21(1): 87-91.
[14]陈文彬.城市轨道交通全自动运行系统运营场景验证研究[J].隧道与轨道交通，2022（4）：59-61，68.
Chen Wenbin. Study on Verification of Operation Scenarios of Fully Automatic Operation System of Urban Rail Transit[J]. Tunnel and Rail Transit, 2022(4): 59-61, 68.
[15]盛伊琳，梁贺程.城市轨道交通全自动运行系统中安全相关系统的确定及安全保证模式探讨[J].城市轨道交通研究，2023，26（2）：72-75，85.
Sheng Yilin, Liang Hecheng. Determination of Safety-Related System and Safety Assurance Mode for Urban Rail Transit FAO System[J]. Urban Mass Transit, 2023, 26(2): 72-75, 85.

无人驾驶项目CC-TCMS通信中断场景探讨及优化

Discussion and Optimization of CC-TCMS Communication Interruption Scenarios of FAO Project

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献

相关文章 1

编辑推荐

Metrics

本文评价