Data-driven Modeling of MRT-based Population Mobility Using Impersonal Data

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• 作者：Oksana O. Vyatkina ; ^{oovyatkina@corp.ifmo.ru" class="auth_mail" title="E-mail the corresponding author} ; Alexey V. Kurilkin ^{kurilkin@corp.ifmo.ru" class="auth_mail" title="E-mail the corresponding author} ; Ksenia D. Mukhina ^{mukhinaks@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Sergey A. Mityagin ^{mityagin@iac.spb.ru" class="auth_mail" title="E-mail the corresponding author} ; Alexander V. Boukhanovsky ^{boukhanovsky@mail.ifmo.ru" class="auth_mail" title="E-mail the corresponding author}
• 关键词：MRT network ; passenger mobility ; daily rhythms ; spatiotemporal variability ; periodically correlated stochastic process
• 刊名：Procedia Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：66
• 期：Complete
• 页码：356-363
• 全文大小：1138 K

文摘

The data-driven probabilistic model of MRT-based population mobility is developed for St. Petersburg, Russia. This model is based on impersonal data which contains only the inflows and outflows of the passengers in the MRT stations; the personal tracks of the passengers are unavailable. The model explains the spatiotemporal variability of MRT traffic using common factors which may be associated with non-local social and environmental phenomena.