A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems
详细信息 查看全文
- 作者：Nasri Bin Othman othmannb@ihpc.a-star.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Erika Fille Legara legaraeft@ihpc.a-star.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Vicknesh Selvam selvamv@ihpc.a-star.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Christopher Monterola ; monterolac@ihpc.a-star.edu.sg" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Agent-based modelling ; Data-driven simulations ; Urban complexity ; Transportation dynamics ; Smart card data
- 刊名：Journal of Computational Science
- 出版年：2015
- 出版时间：September 2015
- 年：2015
- 卷：10
- 期：Complete
- 页码：338-350
- 全文大小：1399 K
文摘
- •
Develop a full-scale data-driven agent-based model (ABM) of rapid train system (RTS).
- •
Model integrates a route choice model and results are validated using smart card data.
- •
Analyze congestion and scaling dynamics of RTS using the developed ABM.
- •
Propose a procedure that captures the penultimate station effect in RTS.