德國鐵路與阿爾斯通完成車輛段遠程駕駛技術測試

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軌道交通信號與控制

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德國鐵路公司（德鐵）與阿爾斯通在德國真實車輛段環境中，完成了通勤列車遠程駕駛的首次客戶實操測試。該測試于慕尼黑開展，操作人員在遠程控制中心對列車實施了遠程調車作業。

此次落地驗證了車輛段調車作業的數字化改造路線，能有效提升作業效率與運營效能。操作人員無需登車，在遠程工作站即可實現列車操控，縮短了調車人員的現場行走時間，也提高了車輛段日常作業流程和作業效率。

該系統依托德鐵5G園區網絡實現列車與遠程控制中心的互聯互通。阿爾斯通打造的技術架構，將現有的列車控制與管理系統（TCMS）接入標準化遠程駕駛接口，無需對現役車輛進行重新設計，即可完成集成改造。本次慕尼黑測試中，列車還加裝了額外的攝像頭與傳感器，為遠程操作人員提供實時現場態勢感知。

這一解決方案的研發從規劃階段就兼顧工業化落地需求，可適配現役列車與未來新建列車。據項目合作雙方介紹，該技術可應用于阿爾斯通多款通勤列車系列，包括BR423、BR430、BR442、BR490及BR1440型，覆蓋德國境內數百列運營車輛。

本次測試成為車輛段運營向高效化、數字化升級的重要里程碑，也為后續列車遠程駕駛原型技術的研發奠定了技術基礎。

原文：

DB, Alstom Test Remote Depot Driving for Commuter Trains

Deutsche Bahn and Alstom have completed the first customer-operated test of remote driving on a commuter train in a real depot environment in Germany. The trial, carried out in Munich, involved remotely shunting an S-Bahn train from a Remote Operation Centre on a works track.

The deployment demonstrates how depot movements can be digitalised to improve speed and operational efficiency. Instead of being physically onboard, the operator controls the train from a remote workstation, reducing walking distances for shunting staff and accelerating routine depot processes.

The system uses a DB 5G campus network to link the train with the Remote Operation Centre. Alstom’s architecture connects existing Train Control and Management Systems (TCMS) to a standardised remote-driving interface, allowing legacy vehicles to be integrated without fundamental redesign. In the Munich test, additional cameras and sensors were installed on the train to provide the remote operator with real-time situational awareness.

The solution was developed with an industrial rollout in mind and is designed to be applicable to both existing fleets and future newbuild trains. According to the project partners, the technology can be deployed across multiple Alstom commuter train series, including BR423, BR430, BR442, BR490 and BR1440, covering several hundred vehicles in Germany.

The trial marks a milestone toward more efficient, digitally enabled depot operations and provides a technical foundation for future prototype development in remote train driving.

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