Multi-objective optimal control formulations for bus service reliability with traffic signals

Andy H.F. Chow, Shuai Li and Renxin Zhong

Transportation Research Part B: Methodological, 2017, vol. 103, issue C, 248-268

Abstract: This paper presents a set of optimal control formulations for maximising bus service reliability through deriving optimal adjustments on signal timings. The traffic dynamics is captured by an underlying kinematic wave model in Hamilton–Jacobi formulation. With traffic data collected through loop detectors and bus positioning devices, the control actions are carried out through adjusting signal timing plans according to short-term estimations of traffic flows and bus arrivals. We derive the optimality conditions of multi-objective control formulations and present an open loop solution algorithm. The proposed control system is applied to a test arterial developed based upon a real-world scenario in Central London, UK. It is found that the model is capable of regulating bus service reliability through utilising traffic signals while managing delays induced to surrounding traffic. The study generates new insights on managing bus service reliability in busy urban networks.

Keywords: Bus service reliability; Kinematic wave model; Hamilton–Jacobi formulation; Multi-objective optimal control; Transit signal priority (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (16)

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DOI: 10.1016/j.trb.2017.02.006

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