An Online Adaptive Boosting Ensemble Approach to Human Mobility Prediction at a Metropolitan Scale
【研究キーワード】
Mobility Prediction / Ensemble Model / Human Mobility Modeling / Ubiquitous Computing / Urban Computing / Deep Learning / Transfer Learning
【研究成果の概要】
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.
【研究代表者】
【研究種目】若手研究
【研究期間】2020-04-01 - 2023-03-31
【配分額】4,030千円 (直接経費: 3,100千円、間接経費: 930千円)