Presentation | 2015-03-03 Detection and Analysis of Unusual Traffic Flow Using Sensing Data of Tokyo-Nagoya Expressway Tomoatsu MAEDA, Toshihiko YAMASAKI, Kiyoharu AIZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we analyze the traffic flow of Tokyo-Nagoya Expressway using five-year detailed sensing data provided by Central Nippon Expressway Company. We visualized the sensing data and detected unusual cases in the traffic flow by statistical analysis. For instance, by detecting maximum flow of commercial trucks at each sensing point, we succeeded in visualizing how they move to Tokyo in the morning. In addition, we analyzed how the change from a normal state to congestion state or vise versa occurs between Tomei-Kawasaki and Tokyo Interchanges in for morning. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Traffic / Highway / Traffic Engineering / Analysis |
Paper # | IMQ2014-40,IE2014-101,MVE2014-88 |
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Committee | MVE |
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Conference Date | 2015/2/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Detection and Analysis of Unusual Traffic Flow Using Sensing Data of Tokyo-Nagoya Expressway |
Sub Title (in English) | |
Keyword(1) | Traffic |
Keyword(2) | Highway |
Keyword(3) | Traffic Engineering |
Keyword(4) | Analysis |
1st Author's Name | Tomoatsu MAEDA |
1st Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo() |
2nd Author's Name | Toshihiko YAMASAKI |
2nd Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo |
3rd Author's Name | Kiyoharu AIZAWA |
3rd Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo |
Date | 2015-03-03 |
Paper # | IMQ2014-40,IE2014-101,MVE2014-88 |
Volume (vol) | vol.114 |
Number (no) | 487 |
Page | pp.pp.- |
#Pages | 2 |
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