轨道交通车载智能化应用技术发展展望

龙腾; 王彧弋; 林军; 史可; 潘文波; 康高强

doi:10.13890/j.issn.1000-128X.2024.01.124

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轨道交通车载智能化应用技术发展展望

综述 | 更新时间：2024-08-02

- 轨道交通车载智能化应用技术发展展望
- Development review and prospects of intelligent technology in rail transit vehicles
- 机车电传动 2024年第1期页码：11-21
- 作者机构：
  
  中车株洲电力机车研究所有限公司，湖南株洲 412001
- 作者简介：
  
  王彧弋（1986—），男，博士，高级工程师，主要从事机器学习、运筹优化等方面的研究；E-mail: wangyy20@csrzic.com
- 基金信息：
  
  国家重点研发计划(2022YFB4300405)
- DOI：10.13890/j.issn.1000-128X.2024.01.124
  中图分类号： U260.1
- 纸质出版日期：2024-01-10，
  
  收稿日期：2023-07-31，
  
  修回日期：2023-12-19，
- 稿件说明：
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龙腾, 王彧弋, 林军, 等. 轨道交通车载智能化应用技术发展展望[J]. 机车电传动, 2024(1): 11-21.

LONG Teng, WANG Yuyi, LIN Jun, et al. Development and prospects of intelligent technology in rail transit vehicles[J]. Electric drive for locomotives,2024(1): 11-21.
龙腾, 王彧弋, 林军, 等. 轨道交通车载智能化应用技术发展展望[J]. 机车电传动, 2024(1): 11-21. DOI：10.13890/j.issn.1000-128X.2024.01.124.

LONG Teng, WANG Yuyi, LIN Jun, et al. Development and prospects of intelligent technology in rail transit vehicles[J]. Electric drive for locomotives,2024(1): 11-21. DOI：10.13890/j.issn.1000-128X.2024.01.124.

摘要

随着感知、决策、控制、诊断等技术不断向智能化方向发展，在轨道交通领域，车载智能化应用也逐渐成为未来轨道交通发展的趋势。文章介绍了列车自动驾驶、主动防撞、基础设施检测、行为监测等车载关键技术的发展现状以及展望，这些技术的应用提高了轨道交通的运行效率和安全性。其中，列车自动驾驶技术的应用使得列车可以更加准确、高效地运行，降低了人为操作失误带来的风险；主动防撞技术的应用可以实现列车之间的自动避让，有效预防碰撞事故；基础设施检测和行为监测技术的应用可以在设备故障或者司机疲劳等情况下及时预警，减少潜在风险。随着这些技术的应用，轨道交通车载智能化将迎来更多的创新和发展，为未来轨道交通的高效、安全、智能化运营提供有力支持。

Abstract

With the continuous development of technologies such as perception

decision

control

and diagnosis towards intelligence

the integration of intelligent features into vehicular applications has emerged as a prominent trend in the future development of rail transportation. This paper provides a comprehensive overview of the current status and future expectations of key onboard technologies

including automatic train operation (ATO)

active collision prevention

infrastructure detection

and driver behavior monitoring. These technologies have significantly enhanced the operational efficiency and safety of rail transportation

along with profound potential for further advancements. Specifically

the train automatic operation technology aims to achieve more accurate and efficient operation of trains

thereby significantly reducing the risks associated with human operational errors. The active collision prevention technology enables automated avoidance between trains

such effectively precluding collision accidents. Furthermore

the infrastructure detection and driver behavior monitoring technology facilitates timely warnings in cases of equipment failure or driver fatigue

ultimately reducing potential hazards. With the further application of these technologies

rail transit vehicles will witness further innovation and development based intelligence

providing robust support for efficient

safe

and intelligent operation of rail transportation in the future.

关键词

轨道交通机车自动驾驶主动防撞基础设施检测行为监测

Keywords

rail transitautomatic train operationactive collision preventioninfrastructure inspectionbehavior monitoring

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