Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control

作者：Liu Hongcheng; Han Ke^*; Gayah Vikash V; Friesz Terry L; Yao Tao

来源：Transportation Research Part C: Emerging Technologies , 2015, 59: 260-277.

DOI：10.1016/j.trc.2015.05.016

• On-line signal control
• LWR model
• Linear decision rule
• Distributionally robust optimization
• Data-driven modeling

We propose a two-stage, on-line signal control strategy for dynamic networks using a linear decision rule (LDR) approach and a distributionally robust optimization (DRO) technique. The first (off-line) stage formulates a LDR that maps real-time traffic data to optimal signal control policies. A DRO problem is solved to optimize the on-line performance of the LDR in the presence of uncertainties associated with the observed traffic states and ambiguity in their underlying distribution functions. We employ a data-driven calibration of the uncertainty set, which takes into account historical traffic data. The second (on-line) stage implements a very efficient linear decision rule whose performance is guaranteed by the off-line computation. We test the proposed signal control procedure in a simulation environment that is informed by actual traffic data obtained in Glasgow, and demonstrate its full potential in on-line operation and deployability on realistic networks, as well as its effectiveness in improving traffic.

• 出版日期2015-10