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轨道交通车载智能化应用技术发展展望

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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.
Development review and prospects of intelligent technology in rail transit vehicles
With the continuous development of technologies such as perception,decision,control,and diagnosis towards intelli-gence,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 technolo-gies,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 en-ables 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 po-tential 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.

rail transitautomatic train operationactive collision preventioninfrastructure inspectionbehavior monitoring

龙腾、王彧弋、林军、史可、潘文波、康高强

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中车株洲电力机车研究所有限公司,湖南株洲 412001

轨道交通 机车自动驾驶 主动防撞 基础设施检测 行为监测

国家重点研发计划

2022YFB4300405

2024

机车电传动
中国南车集团株洲电力机车厂

机车电传动

CSTPCD
影响因子:0.347
ISSN:1000-128X
年,卷(期):2024.(1)
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