Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control
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- 作者：Hongcheng Liua ; hql5143@psu.edu" class="auth_mail" title="E-mail the corresponding author ; Ke Hanb ; k.han@imperial.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Vikash V. Gayahc ; gayah@engr.psu.edu" class="auth_mail" title="E-mail the corresponding author ; Terry L. Friesza ; tfriesz@psu.edu" class="auth_mail" title="E-mail the corresponding author ; Tao Yaoa ; tyy1@engr.psu.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：On-line signal control ; LWR model ; Linear decision rule ; Distributionally robust optimization ; Data-driven modeling
- 刊名：Transportation Research Part C: Emerging Technologies
- 出版年：2015
- 出版时间：October 2015
- 年：2015
- 卷：59
- 期：Complete
- 页码：260-277
- 全文大小：1184 K
文摘
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A two-stage on-line signal control strategy is proposed based on linear decision rules.
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The signal control method utilizes both historical and real-time traffic information.
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A distributionally robust optimization ensures the on-line performance of the controls.
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All computations are performed off line, making on-line operation efficient and reliable.
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A case study shows significant improvement of the on-line control over fixed signal plans.