Control strategies for dynamic motorway traffic subject to flow uncertainties

• Published in: Transportmetrica. (Abingdon, Oxfordshire, UK) Vol. 7; no. 1; pp. 559 - 575
• Main Authors: Li, Ying, Chow, Andy H. F., Zhong, Renxin
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 23.12.2019; Taylor & Francis Ltd
• Subjects: Adaptive control; Adaptive ramp metering; cell transmission model; Computer simulation; Controllers; Delay; Flow measurement; optimal control; Optimization; Reliability aspects; Roads & highways; Robust control; robust optimization; rolling horizon; Traffic control; Traffic flow; Traffic planning; Travel time; Uncertainty analysis
• DOI: 10.1080/21680566.2018.1447410
• ISSN: 2168-0566

This paper analyses the performance of motorway control strategies subject to real-time flow measurement and modeling uncertainties. The control strategies are derived and tested on the cell transmission model with which global optimal solutions can be derived through solving linear programs. In particular, we present an adaptive control strategy which incorporates prevailing variations in traffic flow through a rolling horizon optimization framework. This adaptive strategy is compared with a min-max robust control formulation on a Monte Carlo stochastic simulation test bed. The robust control delivers the best performance in terms of minimizing delay variability due to its underlying conservativeness, while it comes at the expense of overall delay reduction. In contrast, the adaptive controller outperforms the robust controller in terms of delay reduction. Nevertheless, the benefit gained from the adaptive control diminishes as the motorway system gets saturated with traffic. It is also found that the adaptive controller is not effective in improving travel time reliability, at least under recurrent conditions. The findings reveal the limitation of adaptive control and provide insight to control design and infrastructure planning concerning installation of an advanced traffic control system.