2013
DOI: 10.1016/j.trc.2013.05.011
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Considerations for model-based traffic control

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Cited by 58 publications
(24 citation statements)
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“…However, the use of optimal control in real-time is usually materialised via a MPC scheme, as envisaged by Burger et al (2013), whereby the required (rolling) optimisation horizon is in the order of the time needed to drive the considered motorway stretch (rather than the 4-h horizon used here to demonstrate the method); while the update period (for re-computation of the solution) is surely not less than the control time step. Thus, to investigate this issue, the possibility of decreasing the optimisation horizon is considered.…”
Section: Implementation and Computation Remarksmentioning
confidence: 99%
“…However, the use of optimal control in real-time is usually materialised via a MPC scheme, as envisaged by Burger et al (2013), whereby the required (rolling) optimisation horizon is in the order of the time needed to drive the considered motorway stretch (rather than the 4-h horizon used here to demonstrate the method); while the update period (for re-computation of the solution) is surely not less than the control time step. Thus, to investigate this issue, the possibility of decreasing the optimisation horizon is considered.…”
Section: Implementation and Computation Remarksmentioning
confidence: 99%
“…Based on (2) and the assumption that the outflows of every cell are constant percentages of the total outflow from the same cell as proposed in [8], we obtain the freeway model:…”
Section: Freeway Models and Their Propertiesmentioning
confidence: 99%
“…A branch of related research has considered nonlinear optimal control and MPC (Model Predictive Control) as a network-wide freeway traffic control approach, see, e.g. [2,3,9,11]. However, possibly due to the involved control strategy complexity, none of the proposed methods has advanced to a field-operational tool.…”
Section: Introductionmentioning
confidence: 99%
“…Adaptive signal control scheme changes the timing plan in every cycle using real-time traffic measurements and usually also real-time prediction of future traffic demands to set the timing plan (Burger et al, 2013;Li et al, 2014). It gains substantially increasing interests nowadays, because of its flexibility and capability to further improve traffic control performance.…”
Section: Introductionmentioning
confidence: 99%