Multi-objective optimal control formulations for bus service reliability with traffic signals
place - europe, place - urban, mode - bus, technology - automatic vehicle monitoring, technology - intelligent transport systems, technology - geographic information systems, infrastructure - traffic signals, operations - reliability
Bus service reliability, Kinematic wave model, Hamilton–Jacobi formulation, Multi-objective optimal control, Transit signal priority
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.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Chow, A.H.F., Li S., & Zhong, R. (2017). Multi-objective optimal control formulations for bus service reliability with traffic signals. Transportation Research Part B: Methodological, Available online 15 March 2017. In Press, Corrected Proof — Note to users.
Transportation Research Part B Home Page: