Computational Technology Resources - CCC

H. Hatano¹, Y. Takase², O. Ogushi², R. Sano¹, K. Furusawa¹ and K. Ogiso¹

¹Innovation Strategy Headquaters, East Japan Railway Company, Tokyo, Japan
²Railway Business Headquarters, Mobility Service Department, East Japan Railway Company, Tokyo, Japan

doi:10.4203/ccc.15.21.4

H. Hatano, Y. Takase, O. Ogushi, R. Sano, K. Furusawa, K. Ogiso, "Supporting Decision-Making via Integrated Visualisation of Railway Operations and Weather / Disaster Information: JEMAPS Use Cases", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 21.4, 2026, doi:10.4203/ccc.15.21.4

Keywords: railway operations, meteorology, disaster, safety and stability, geographic information system, digital twin, big data.

Abstract

East Japan Railway Company pursues "ultimate safety" amidst increasing natural disaster risks. To support rapid decision-making for safe and stable transport, JR East developed the "JR East Mashup Probe System". This web-based platform integrates vast internal and external data, displaying railway operation status – including train locations, diagrams, and congestion levels – alongside real-time weather and disaster information on a unified map interface. This paper outlines JEMAPS’s capabilities and its critical role during recent events, such as heavy rains and tsunami warnings, where it enabled headquarters and local dispatchers to understand complex situations accurately. Furthermore, the system aids in rescue planning by visualising trains stopped between stations and acts as a vital tool in disaster prevention drills using simulated data. The paper also discusses the recent expansion of JEMAPS to tablet devices in late 2025. This development empowers field employees, including station staff and train crew, with independent situational awareness, facilitating faster response times. Finally, future prospects are presented, including enhanced equipment monitoring and potential external information sharing to help customers ensure their own safety during emergencies.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 15 PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 21.4 Supporting Decision-Making via Integrated Visualisation of Railway Operations and Weather / Disaster Information: JEMAPS Use Cases H. Hatano¹, Y. Takase², O. Ogushi², R. Sano¹, K. Furusawa¹ and K. Ogiso¹ ¹Innovation Strategy Headquaters, East Japan Railway Company, Tokyo, Japan ²Railway Business Headquarters, Mobility Service Department, East Japan Railway Company, Tokyo, Japan doi:10.4203/ccc.15.21.4 Full Bibliographic Reference for this paper H. Hatano, Y. Takase, O. Ogushi, R. Sano, K. Furusawa, K. Ogiso, "Supporting Decision-Making via Integrated Visualisation of Railway Operations and Weather / Disaster Information: JEMAPS Use Cases", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 21.4, 2026, doi:10.4203/ccc.15.21.4 Keywords: railway operations, meteorology, disaster, safety and stability, geographic information system, digital twin, big data. Abstract East Japan Railway Company pursues "ultimate safety" amidst increasing natural disaster risks. To support rapid decision-making for safe and stable transport, JR East developed the "JR East Mashup Probe System". This web-based platform integrates vast internal and external data, displaying railway operation status – including train locations, diagrams, and congestion levels – alongside real-time weather and disaster information on a unified map interface. This paper outlines JEMAPS’s capabilities and its critical role during recent events, such as heavy rains and tsunami warnings, where it enabled headquarters and local dispatchers to understand complex situations accurately. Furthermore, the system aids in rescue planning by visualising trains stopped between stations and acts as a vital tool in disaster prevention drills using simulated data. The paper also discusses the recent expansion of JEMAPS to tablet devices in late 2025. This development empowers field employees, including station staff and train crew, with independent situational awareness, facilitating faster response times. Finally, future prospects are presented, including enhanced equipment monitoring and potential external information sharing to help customers ensure their own safety during emergencies. download the full-text of this paper (PDF, 1633 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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