| Presentation | 2022-01-12 A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques Kenji Uehara, Kunihiko Hiraishi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Traffic flow data / Mesoscopic model / Process mining / Airport surface movement |
| Paper # | MSS2021-51,SS2021-38 |
| Date of Issue | 2022-01-04 (MSS, SS) |
| Conference Information | |
| Committee | SS / MSS |
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| Conference Date | 2022/1/11(2days) |
| 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. |
| Chair | Takashi Kobayashi(Tokyo Inst. of Tech.) / Atsuo Ozaki(Osaka Inst. of Tech.) |
| Vice Chair | Kozo Okano(Shinshu Univ.) / Shingo Yamaguchi(Yamaguchi Univ.) |
| Secretary | Kozo Okano(Hiroshima City Univ.) / Shingo Yamaguchi(Tokyo Inst. of Tech.) |
| Assistant | Shinpei Ogata(Shinshu Univ.) / Masato Shirai(Shimane Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Software Science / Technical Committee on Mathematical Systems Science and its Applications |
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| Language | JPN |
| 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 |
| 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) |
| Date | 2022-01-12 |
| Paper # | MSS2021-51,SS2021-38 |
| Volume (vol) | vol.121 |
| Number (no) | MSS-317,SS-318 |
| Page | pp.pp.112-117(MSS), pp.112-117(SS), |
| #Pages | 6 |
| Date of Issue | 2022-01-04 (MSS, SS) |