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| Paper Abstract and Keywords | ||
| Presentation | 2020-12-18 14:35 People Flow Reconstruction Based on Anonymous Sensor Data toward Smart City Infrastructure for Estimating Infection Route. Kotaro Matsuda, Hiroki Ikeuchi, Yousuke Takahashi, Tsuyoshi Toyono (NTT)  NS2020-103 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The spread of infectious diseases such as COVID-19 incerases the demand for a social infrastructure to estimate the route of infection. In this paper, we propose a new method for recovering multiple trajectories based on anonymized passage information including passage time and passage position obtained by sensors in smart city. We formulate this problem as a problem of trajectory estimation in general networks. Our method assumes that each trajectory follows a Markov process and estimates transit time for each edge in networks and transition probability of its Markov process. On the basis of its estimation, our method can find multiple trajectories with maximum likelihood by solving a minimum cost flow problem. We evaluate the performance of our method by experiments using simulation data and actual people-flow data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | People flow reconstruction / Contact tracing / Maximum likelihood estimation / Minimum cost flow / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 297, NS2020-103, pp. 85-90, Dec. 2020. | |
| Paper # | NS2020-103 | |
| Date of Issue | 2020-12-10 (NS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NS2020-103 |
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| Conference Information | |
| Committee | NS RCS |
| Conference Date | 2020-12-17 - 2020-12-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2020-12-NS-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | People Flow Reconstruction Based on Anonymous Sensor Data toward Smart City Infrastructure for Estimating Infection Route. |
| Sub Title (in English) | |
| Keyword(1) | People flow reconstruction |
| Keyword(2) | Contact tracing |
| Keyword(3) | Maximum likelihood estimation |
| Keyword(4) | Minimum cost flow |
| Keyword(5) | |
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| 1st Author's Name | Kotaro Matsuda |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Hiroki Ikeuchi |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Yousuke Takahashi |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name | Tsuyoshi Toyono |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2020-12-18 14:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2020-103 |
| Volume (vol) | vol.120 |
| Number (no) | no.297 |
| Page | pp.85-90 |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (NS) |
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