2021 Fiscal Year Research-status Report
An Online Adaptive Boosting Ensemble Approach to Human Mobility Prediction at a Metropolitan Scale
| Project/Area Number |
20K19782
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| Research Institution | The University of Tokyo |
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Principal Investigator |
FAN ZIPEI 東京大学, 空間情報科学研究センター, 特任講師 (70835397)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | Mobility Prediction / Ensemble Model |
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| Outline of Annual Research Achievements |
I finished the development of the online adaptive ensemble mobility prediction model in the proposal. For the irregularity simulation part, I have submitted three journal papers to the top transportation journal IEEE TITS (under review), the top visualization journal IEEE TVCG and one ACM TSAS. For the online ensemble part, I have submitted a journal paper to the top data mining journal IEEE TKDE, and now it is under minor revision. In addition, one paper on the real time implementation on the mobility prediction system and some analysis on the irregular events is being prepared to submit to the top conference ACM sigspatial.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
I have finished the planned irregular simulation, online ensemble and real time system implementation.
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| Strategy for Future Research Activity |
Finalizing the paper writing, and deployment on the real streaming data.
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| Causes of Carryover |
Finalizing the paper writing and attending conferences (registration fees and travel expenses), and some other additional experiments with extra devices.
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