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T. Sahara, S. Sakairi, Y. Shibata, Y. Soda, "Estimation of station congestion using real-time data", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 23.6, 2022, doi:10.4203/ccc.1.23.6

Keywords: station, big data, simulation.

Abstract

We believe that it is necessary to quickly grasp the congestion of the station and deal with it. In this research, we studied a method of calculating the congestion situation in a station by collecting data from train weight sensors and automatic ticket gates. Since the data used this time is data that can be acquired in real time, the situation can be immediately reflected even in the event of an abnormality. We believe that this method can accurately calculate congestion even in abnormal situations. We have developed a method that can calculate the congestion status of a station using the information on the automatic ticket gates and the number of passengers of the train. We are developing a prototype system “Station Congestion Visualization function” and testing it. In the future, we believe that opening it to the public will avoid congestion at stations. We are making these developments to improve passenger convenience. We believe it will help further enhance the value of the railway.

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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: 1 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 23.6 Estimation of station congestion using real-time data T. Sahara, S. Sakairi, Y. Shibata and Y. Soda JR East Research and Development Center, East Japan Railway Company, Tokyo, Japan doi:10.4203/ccc.1.23.6 Full Bibliographic Reference for this paper T. Sahara, S. Sakairi, Y. Shibata, Y. Soda, "Estimation of station congestion using real-time data", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 23.6, 2022, doi:10.4203/ccc.1.23.6 Keywords: station, big data, simulation. Abstract We believe that it is necessary to quickly grasp the congestion of the station and deal with it. In this research, we studied a method of calculating the congestion situation in a station by collecting data from train weight sensors and automatic ticket gates. Since the data used this time is data that can be acquired in real time, the situation can be immediately reflected even in the event of an abnormality. We believe that this method can accurately calculate congestion even in abnormal situations. We have developed a method that can calculate the congestion status of a station using the information on the automatic ticket gates and the number of passengers of the train. We are developing a prototype system “Station Congestion Visualization function” and testing it. In the future, we believe that opening it to the public will avoid congestion at stations. We are making these developments to improve passenger convenience. We believe it will help further enhance the value of the railway. download the full-text of this paper (PDF, 6 pages, 582 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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