| Presentation | 2017-03-07 Trip time prediction using traffic state prediction model derived from probe car data Yuta Ashida, Itaru Nishioka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Trip time prediction is useful for not only private road users but also some business operators, such as logistics providers. Most of present car navigation systems estimate trip time based on present traffic state measured by road side sensors. However, future traffic states which affects an accuracy of trip time prediction need to be considered. In this paper, we propose a trip time prediction method which can take into account future traffic state. In our method, prediction models of traffic states are learned for each road segment from probe car data. These models are used to consider future traffic state of road segment where a vehicle will be during the trip. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Probe Data / Floating Car Data / Congestion Prediction / Machine Learning |
| Paper # | ITS2016-90 |
| Date of Issue | 2017-02-28 (ITS) |
| Conference Information | |
| Committee | ITS / IEE-ITS |
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| Conference Date | 2017/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information Processing for ITS, etc. |
| Chair | Tomotaka Nagaosa(Kanto Gakuin Univ.) |
| Vice Chair | Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) |
| Secretary | Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(AIST) |
| Assistant | Tetsuya Manabe(Saitama Univ.) / Yanlei Gu(Univ. of Tokyo) / Koichiro Hashiura(Akita Pref. Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Intelligent Transport Systems Technology / Technical Meeting on Intelligent Transport Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Trip time prediction using traffic state prediction model derived from probe car data |
| Sub Title (in English) | |
| Keyword(1) | Probe Data |
| Keyword(2) | Floating Car Data |
| Keyword(3) | Congestion Prediction |
| Keyword(4) | Machine Learning |
| 1st Author's Name | Yuta Ashida |
| 1st Author's Affiliation | NEC Corporation(NEC) |
| 2nd Author's Name | Itaru Nishioka |
| 2nd Author's Affiliation | NEC Corporation(NEC) |
| Date | 2017-03-07 |
| Paper # | ITS2016-90 |
| Volume (vol) | vol.116 |
| Number (no) | ITS-502 |
| Page | pp.pp.81-86(ITS), |
| #Pages | 6 |
| Date of Issue | 2017-02-28 (ITS) |