| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2022-01-12 11:35 A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques Kenji Uehara, Kunihiko Hiraishi (JAIST)  MSS2021-51 SS2021-38 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the improvement of computing power and the widespread use of sensor technologies such as cameras and GNSS, highly accurate and frequent large-volume traffic flow data has become readily available. Modeling using these traffic flow data can be used for various purposes but handling large-volume traffic flow data requires computing power and a great deal of work to create statistical data for modeling. To acquire the characteristics of the traffic flow, it is useful to discretize them to some extent. Therefore, we consider a Mesoscopic model that replaces continuous values with statistical information to discretize the data in order to reduce the size of the data, while retaining the framework of the network at a level that allows for bottleneck verification and identification of stagnation. In this paper, we propose an efficient model creation method designed to stylize the modeling process to reduce the workload by applying Process Mining techniques. Furthermore, using airport traffic flow data as an example, we create an actual model and show that Process Mining techniques are quite useful in supporting modeling traffic flows and that the model created by this technology is accurate enough to achieve the analyst's objectives. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Traffic flow data / Mesoscopic model / Process mining / Airport surface movement / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 317, MSS2021-51, pp. 112-117, Jan. 2022. | |
| Paper # | MSS2021-51 | |
| Date of Issue | 2022-01-04 (MSS, SS) | |
| 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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | MSS2021-51 SS2021-38 |
|
| Conference Information | |
| Committee | SS MSS |
| Conference Date | 2022-01-11 - 2022-01-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mathematical Systems Science and its Applications, Software Science, etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-01-SS-MSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques |
| Sub Title (in English) | |
| Keyword(1) | Traffic flow data |
| Keyword(2) | Mesoscopic model |
| Keyword(3) | Process mining |
| Keyword(4) | Airport surface movement |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kenji Uehara |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 2nd Author's Name | Kunihiko Hiraishi |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2022-01-12 11:35:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2021-51, SS2021-38 |
| Volume (vol) | vol.121 |
| Number (no) | no.317(MSS), no.318(SS) |
| Page | pp.112-117 |
| #Pages | 6 |
| Date of Issue | 2022-01-04 (MSS, SS) |
[Return to Top Page]