|
Traffic assignment | Network size | Summary |
|
Deterministic user equilibrium (DUE) | Local (<5 signals or <5 available routes) | Very few studies are found carrying out signal optimization using DUE in relatively small networks with few routing options including [66] that used DUE to calculate the reserve capacity of the network. Meanwhile, [67, 68] implemented DUE on a local network with isolated signal or few signals as well as with a real network of multiple signalized intersections. |
Global (>5 signals or >5 available routes) | DUE is the popular choice of traffic assignment for signal optimization in relatively large networks [67–70]. These studies yield efficient techniques for signal optimization based on DUE traffic assignment with some providing a comparison between DUE with SO, concluding significant advantage of DUE for adaptive signals. |
Stochastic user equilibrium (SUE) | Local (<5 signals or <5 available routes) | SUE is more prominent in localized signal optimization [57, 68, 71, 72]. The study reported in [58] has provided a comparison of the performance of deterministic and stochastic user equilibrium techniques over different networks and observed improved results for SUE in local networks. |
Global (>5 signals or >5 available routes) | Very few studies are found in the literature using SUE in relatively large networks including [72] that has recommended the use of DUE on global traffic signal optimization. |
System optimal (SO) | Local/global | References [67, 73, 74] used SO in both large and small networks. Reference [67] argued that DUE is advantageous over SO in designing adaptive signals in a network. |
Stochastic route choice (SRC) | Local (<5 signals or <5 available routes) | Use of SRC mostly prevails in the studies on a single freeway or highway with few alternate routes available [65, 75–79]. |
Global (>5 signals or >5 available routes) | A few studies are found in the literature that used relatively large networks and SRC [80–82]. In [82], the selection of route choice model was arbitrary as the main focus of the study on the optimization part of the problem rather than the simulation. |
|