The policy of jointly implementing signal control and congestion pricing in the transportation network is investigated. Bilevel programs are developed to model the simultaneous optimization of signal setting and congestion toll. The upper level aims to maximize the network reserve capacity or minimize the total travel time, subject to signal setting and toll constraints. The lower level is a deterministic user equilibrium problem given a plan of signal setting and congestion charge. Then the bilevel programs are transferred into the equivalent single level programs, and the solution methods are discussed. Finally, a numerical example is presented to illustrate the concepts and methods, and it is shown that the joint implementation policy can achieve promising results. © 2013 Wei Mao et al.
Mao, W., Qin, F., Hu, Y., & Tan, Z. (2013). Joint implementation of signal control and congestion pricing in transportation network. Journal of Applied Mathematics, 2013. https://doi.org/10.1155/2013/315752